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Department of Electri ca l Engineering Faculty of Engineerin g and Technology

Jami a M illi a lslami a, New Delhi , IN DI A

List of Courses for lJG

Programme: B. Tec h. in Electrica l Engineeri ng EES-731 Power Systems Lab 004 2 EES-7SO Minor Project 00 12 6

T he overall credits structure EES-801 Industr ial M anagement 3 1 0 4 Core Courses Elective Courses EES-850 Major Project 00 16 8 Category Credits Category Credits DC: 125 CBCS: 27 SEC: 27 DE: 12

DE: Departmental electives EES-605 Electric Drives 3 1 0 4

AECC 20 - EES-606 Computer Architecture 310 4 Tota l 172 Tota l 39 EES-607 Engineering M ateri als 310 4 Total Credits=2l l EES-608 PLC 310 4

CBCS: Choice Based Credit S:tstem Course No. Course Title LT P Credits EES-304 Signa ls and Syst ems 310 4 EES-405 Engineering Mathematics- Ill 3 10 4 EES-504 Electrical Measurement-I 310 4 EES-604 Power Station Practice 31 0 4

EES-705 Soft Computing 310 4 EES-706 Digita l Signa l Process ing 31 0 4 EES-707 High Voltage Engineerin g 31 0 4 EES-708 Special Electrical Machin es 310 4 EES-709 Bio M edical Instrum entation 31 0 4 EES-710 HVDC Transmiss ion 31 0 4 EES-807 Data Communications and

EES-703 Renewable and Sustainable

Energy System s 310 4 EES-803 Process Control 310 4 EES-804 Electrical Machine Design 310 4

Computer Networks 31 0 4 EES-808 Advanced Microprocessors 31 0 4 EES-809 Micro Contro ll ers 31 0 4

EES-805 Advanced Protective Rel ays 310 4 EES-806 Utilization of Electrical Energy 310 4

SEC: Skill Enhancement Courses E ES-33 2 Network Analysis &

DC: De~artmental core EES-301 El ectrical Machines-I 310 4 EES-302 Network Analysis & Synthesis 310 4 EES-303 Analog Electronics 310 4 EES-331 Electrical M ach in es- I Lab. 004 2 EES-401 Electrical M achines - II 310 4 EES-402 Digital Electronics 310 4 EES-403 Power Systems- I 310 4 EES-404 Programmin g Languages 310 4 EES-431 Electrical M achines- II Lab. 004 2 EES-501 Control Systems - I 310 4 EES-502 Power Electronics 310 4

Synthesis Lab. 00 4 2 E ES-333 Analog Electronics Lab . 00 4 2 EES-432 Digital Electronics Lab. 00 4 2 EES-434 Programming Languages Lab 00 4 2 E ES-532 Power Electronics Lab 004 2 EES-533 Communication Systems Lab 004 2 EES-631 Switchgear and Protection Lab 004 2 EES-632 Electrical M easurem ent Lab 004 2 EES-633 Microprocessor Lab 004 2 EES-640 Sem inar 004 2 EES-732 Smart Grid - SCADA Lab 004 2 EES-840 Industri al Training* 004 2

EES-503 Commun ication Systems 310 4 EES-505 Power Systems- II 310 4 EES-531 Contro l Systems Lab 004 2 EES-601 Switchgear and Protection 310 4 EES-602 Electr ica l m easurement-II 310 4 EES-701 Advanced Power Systems 31 0 4

AECC: Ability Enhancement Compulsory Course EES-305 Electrom agnetic Field Th eory 3 1 0 4 EES-603 Microprocessor 310 4 EES-702 Smart Grid Technologies 310 4 EES-802 Control Systems-II 310 4

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HEAD Deptt. of Electrical Engineering Faculty of Engg. & Tech. Jamia Millia lslamia New Delhi-110025

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Course Code

AS-101 AS-151

AS-102 AS-15 2 AS-103

;-153 AS-104 ME-101 CE-101 ME-151

JAMIA MILLIA ISLAMIA (A Centra l University by an Acr of Parliament)

Department of Applied Sciences & Humanities Faculty of Engineering and Technology Maulana Mohammed Ali Jauhar Marg, New Delhi-I 10025 . Tel. : 26988846, 26981717 Ext 2510 Telefax : 91 ( 11) 26988846

Choice Based Credits System Course Structure B. Tech. I Year (All Branches/Sections)

I Semester Period Per

~ Week :a Course Title QI .. Sessional u L T p

Communication Skills 3 3 -- -- 30 Language Lab 1 -- -- 2 15

Engineering Physics - 1 3 2 1 -- 30 Engineering Physics Lab - 1 1 -- -- 2 15 Engineering Chemistry - 1 3 2 1 -- 30 Engineering Chemistry Lab - I 1 -- -- 2 15 Engineering Mathematics - I 4 3 1 -- 40 Basics of Mechanical Engineering 3 2 1 -- 30 Basics of Civil & Environmental Engineering 3 2 1 -- 30 Workshop Practice 2 -- -- 4 30

Total 24 14 5 10 265

Total Hrs. 29

Marks

Practic Theory al

45 -- 10

45

-- 1 0 45 -- 1()

60 45 45

-- 20 285 5()

600

II Semester

Course Code Course Title

AS-201 Human Resource Management

AS-202 Engineering Physics - II

AS-252 Engineering Physics Lab - II

l\S-203 Engineering Chemistry - II

.l-253 Engineering Chemistry Lab - II

AS-204 Engineering Mathematics - II

AS-205 Innovative Sciences & Technology

EE-101 Basic Electrical Engineering

EC-101 Basic Electronics & Communication CS-101 Fundamentals of Computing

ME - 250 Engineering Graphics

Total

Period Per Marks

~ Week :a QI .. u L T p Sessional Theory Practical

3 2 1 -- 30 45

3 2 1 -- 30 45 1 -- -- 2 15 -- 10 3 2 1 -- 30 45 1 -- -- 2 15 -- 10 4 3 1 -- 40 60 3 2 1 -- 30 45 3 2 1 -- 30 45 3 ·2 1 -- 30 45 3 2 -- -- 30 45 2 -- -- 4 30 -- 20

2- 18 8 8 310 375 40

Total Hrs. 34 725

() ' ii

\t6 vJ :s¥J; . (Prof. Chaudh Wali Mohammad)

HEAD Head Dept. of Applied Sc. & Hurrrn Faculty of Engg. & Tech · Jamfa Millia fs famia · New Delhi-110025

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AECC AECC

Core Core Core Core Core Core Core Core

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SEC

Core Core Core Core Core CBCS Core Core Core Core

Department of Electr ica l Engineering Jamia Mill ia ls lamia

B. TECH. ELECTRICAL ENGINEERING COURSE STRUCTURE UNDER THE CHOICE BASE CREDIT SYSTEM (CBCS)

Effective from July 2016, II Year Batch

Category of Cou rses Abb1·eviation DC: Departmenta l co re L Lecture CBCS: C ho ice Based Cred it System T T utori al SEC: Skill Enhancement Courses P Practica l AECC: Ab ili ty Enhancement Compul sory Course CCA Continuous C lass Assessme nt DE: Depart;nenta l e lectives MSE Mid Semester Eva luation

B. TECH. ELECTRICAL ENGINEERING - II YEAR Third Semester

S. Course No. Course Name Type of Periods Per Exami nation Scheme No Course f- week (D istri bu tion of Marks) Ci

;2 Mid Semester Evaluat ion End

u L T p CCA MS E- 1 MS E-2 Semester Eva luation

0 1 EES-30 1 Electrica l Machines- I DC 4 3 I - 10 15 15 60

02 EES-302 Network Analys is & Synthesis DC 4 3 I - 10 15 15 60

03 EES-303 Analog Electronics DC 4 3 I - 10 15 15 60

04 EES-304 Signal s and Systems CBCS 4 3 I - IO 15 15 60 05 EES-305 Electromagnetic Fie ld AECC 4 3 I - 10 15 15 60

Theo ry PRACTICAL (LAB.) 06 EES-33 1 Electrica l Machi nes-I Lab. DC 2 - - 4 30 - - 20 07 EES-332 Network Analys is & Synthes is SEC 2 - - 4 30 - - 20

Lab. 08 EES-333 Analog Electronics Lab. SEC 2 - - 4 30 - - 20

To ta l 26 Fo ur th Semester

0 1 EES-40 1 Electrica l Machines - 11 DC 4 3 I - 10 15 15 60

02 EES-402 Digita l Electronics DC 4 3 I - 10 15 15 60

03 EES-403 Power Systems- I DC 4 3 I - 10 15 15 60

04 EES-404 Programming Languages DC 4 3 I - 10 15 15 60

05 EES-405 Engineering Mat hematics- I I I cues 4 3 I - 10 15 15 60 PRACTICAL (LA B.) 06 EES-43 1 Electri ca l Machines- II Lab . DC 2 - - 4 30 - - 20

07 EES-432 Digita l Electroni cs Lab. SEC 2 - - 4 30 - - 20

08 EES-434 Programming Languages Lab SEC 2 - - 4 30 - - 20 Tota l 26 Tota l

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Tota l Marks

100 100 100 100 100

50 50

50 650

100 100 100 100 100

50 50

50 650

Deptt. of Electrical Engineering Faculty of Engg. & Tech. Jamia Millia lslamia New Delhi-110025

Department of Electrical Engineering Jamia Mi ll ia Islamia

B. TECH. ELECTRICAL ENGINEERING COURSE STRUCTURE UNDER THE CHOICE BASE CREDIT SYSTEM (CBCS)

Effective from July 2017, III Year Batch Category of Courses Abbreviation DC: Departmental core L Lecture CBCS: C ho ice Based Cred it System T Tutori a l

SEC: Skill En hancement Courses P Practica l AECC: Abi lity Enhancement Compulsory Course CCA Co ntinuous C lass Assessme nt DE: Departme ntal e lect ives MSE Mid Semester Eva luat ion

B. TECH. ELECTRICAL ENGINEERING -III YEAR Fifth Serncster

S. Course No. Course Name Type of Periods Per Examination Scheme No Course f- week (Distribution of Marks) 6

~ Mid Semester Evaluation End

u L T p CCA MSE- 1 MSE-2 Semester Eva luation.

01 EES-50 1 Contro l Systems - I DC 4 3 I - 10 15 15 60

02 EES -502 Power Electron ics DC 4 3 I - 10 15 15 60

03 EES-503 Co mmuni cation Systems DC 4 3 I - 10 15 15 60

04 EES-504 Electrica l Measurement-I CBCS 4 3 I - 10 15 15 60 05 EES -505 Power S ystems- 11 DC 4 3 I - 10 15 15 60 PRACTICAL (LAB.) 06 EES-53 1 Contro l Systems Lab DC 2 - - 4 30 - - 20

07 EES-532 Power Electroni cs Lab SEC 2 - - 4 30 - - 20

08 EES-533 Commun ica tion Systems Lab SEC 2 - - 4 .3 0 - - 20 Total 26

Sixth Semester

0 1 CES-60 1 Switchgear and Protection DC 4 3 I - 10 15 15 60

02 EES-602 Electrica l measurement-I I DC 4 3 I - 10 15 15 60

03 EES-603 Microprocessor AECC 4 3 I - 10 15 15 60 04 EES-604 Power Station Practice CBCS 4 3 I - 10 15 15 60

05 - Electi ve- I DE 4 3 I - 10 15 15 60 E lective-I EES-605 Electric Drives /EES-606 Computer Arch itecture I EES-607 Engineer ing Materia ls/ EES-608 PLC

PRACTICAL (LAB./SEMINAR) 06 EES-63 1 Switchgear and Protection Lab SEC 2 - - 4 30 - - 20

07 EES-632 Electr ica l Measurement Lab SEC 2 - - 4 30 - - 20

08 EES-633 Microprocessor Lab SEC 2 - - 4 30 - - 20

09 EES -640 Seminar SEC 2 - - 4 30 - - 20

Tota l 28 Total

2'1<.. frT> o v( J I (-v0 ( l HE D

Total Marks

100

100

100

100 100

50

50

50 650

100

100

100 100

100

50

50

50

50

700

Deptt. of Electrical Engineering Faculty of Engg. & Tech. Jamia Millia lslamia New Delhi-110025

Department of Electrica l Engineering Jamia Mi llia Islam ia

B. TECH. ELECTIUCAL ENGINEEIUNG COURSE STRUCTURE UNDER THE CHOICE BASE CREDIT SYSTEM (CBCS)

Effective from July 2018, Final Year Batch Category of Courses Abbreviatio n DC: D e pa rtme nta l co re L Lecture

CBCS: C ho ice Based C redit System T Tutoria l SEC: Skill Enha ncem ent Co urses P Practica l

AECC: A bili ty Enha ncement Compul sory Course CCA Continuo us C lass Assessme nt DE: Departmental e lect ives MSE M id Semester Eva luati o n

B. TECH. ELECTIUCAL ENGINEEIUNG -IV YEAR Seventh Semeste r

S. Course No. Course Name Type o r Periods Per Examinat ion Scheme No Course E- week (Distribution or Marks) cs

~ Mid Semeste r Evaluation End

u L T p CCA MSE- 1 MSE-2 Semeste1· Eva luatio n

0 1 EES-70 1 Advanced Power Systems DC 4 3 I - 10 15 15 60

02 EES-702 Smart Grid Technologies AECC 4 3 I - 10 15 15 60 03 EES-703 Renewab le and Sustainabl e C BCS 4 3 I - 10 15 15 60

Energy Systems 04 - Elective- II DE 4 3 I - 10 IS IS 60

Tota l Marks

100

100 100

100 Elective-II EES-705 Sort Computing I EES-706 Digital S ign al Processing I EES-707 Hi gh Voltage Engineering I EES-708 Specia l Electrica l

Mach ines I EES-709 Bio Med ical Instrumentation/ EES-7 10 HVDC Transmi ss ion

PRACTICAL (LAB./MINOR PROJECT) 05 EES-73 1 Power Systems Lab DC 2 - - 4 30 - - 20 50

06 EES-732 Smart Grid - SCA DA Lab SEC 2 - - 4 30 - - 20 so 07 EES -7SO Minor Project DC 6 - - 12 90 - - 60 ISO

Tota l 26 Tota l 650 E ighth Semes ter

0 1 EES-80 1 Industrial Management DC 4 3 I - 10 IS 15 60 100 02 EES-802 Contro l Systems-II AECC 4 3 I - 10 15 15 60 100 03 - Elective- Ill CBCS 4 3 I - 10 IS 15 60 100 04 - Elect ive- IV D E 4 3 I - 10 15 15 60 100

E lective-I I I EES-803 Process Control I EES-804 Electrical Machine Design I EES-805 Advanced Protec tive Re lays I EES-806 Utiliza tion of Electrica l Energy

E lective-IV EES-807 Data Co mmunications and Computer Networks, EES -808Advanced Microprocessors/EES -809- Micro Contro llers

PRACTICAL (LAB./MAJOR PROJ ECT) 05 EES-840 Industria l Training* SEC 2 - -06 EES-850 Major Project DC 8 - -

Tota l 26

* Durin g last summer vacation (Mi nimum 4 weeks)

4 30

16 120

- - 20 50

- - 80 200 Tota l 650

Pi!//;, ¥(" t( ').." / l Deptt. of Electrical Engineering Faculty of Engg. & Tech. Jamia Millia lslamia New Delhi-110025

Department of Electrical Engineering Faculty of Engineering and Technology

Jamia Millia lslami a, New Delhi , IN DI A

List of Cou r ses for PG

Programme: M. Tech. in Control and Instrumentation (C IS) M. Tech. in Electrical Power System Management (EPSM)

The overall credits structure for CIS ' DE: Departmental electives Co re Courses Elective Courses EEM-104 Modelling and Simulation Category Credits Category Cred its EEM-105 Robotics and Control DC: 32 CBCS: 12 EEM-106 Appli ed Mathematics for SEC: IO DE: 16 Engineers AECC 04 - - EEM -107 Autom ation Systems Total 46 Total 28 EEM-108 Process Contro l Total C redits=74 EEM-112 Modeling and Simulation

EEM-113 Power Quality and FACTS The overall credits structure for EPSM EEM-204 Communication Protoco l Core Courses Elective Courses Category Cred its Category Credits DC: 36 CBCS: 12

EEM-205 Advance Digita l Signal Process ing

EEM-206 Smart sensors and Internet SEC: IO DE: 12 AECC 04 - -

Total 50 Total 24 Total Credits=74

ofThings EEM-207 Embedded Systems EEM-208 Digital Contro l System EEM-213 Digital Power System

CBCS: Choice Based Credit System Course No. Course Title LT P Credits EEM-101 Intelligent Techniques 310 4 EEM-201 Optimization Techniques 310 4

Protection EEM-214 Power System Planning and

Reliability EEM-215 Power System Analysis

EEM-303 Multi Sensor Data Fusion 3 1 0 4 EEM-304 Biomedical Instrumentation 310 4 EEM-305 Non Linear Control System 310 4 EEM-306 Advanced Power Electronics 310 4 EEM-308 Smart Grid Technologies 310 4 EEM -309 EHVAC and DC Transmi ss ion 310 4

SEC: Skill Enhancement Courses EEM-132 Instrumentation System Lab EEM-134 SCADA Lab EEM -232 Advance Contro l System Lab EEM-339 Power System Automation

Laboratory

DC: Departmental core EEM-102 Instrumentation Systems 310 4 EEM-103 Optima l Control Theory 310 4 EEM-109 Power System Modeling 310 4 EEM -111 Renewable and Sustainable

En ergy Systems 310 4

EEM -240 Seminar EEM-301 Digital Instrumentation EEM-302 Wire less Sensor Networks EEM-306 Advanced Power Electronics EEM 307 Restructuring and Deregu lation

of Power System

3LO 4 3LO 4

3LO 4 310 4 3 1 0 4 3 1 0 4 310 4 310 4

3 1 0 4

310 4 3 1 0 4 3 1 0 4

3 1 0 4

3 1 0 4 3 1 0 4

004 2 004 2 004 2

004 2 004 2 310 4 310 4 310 4

310 4

EEM -202 Adaptive and Robust Control 310 4 EEM-209 Power System Dynami cs and

AECC: Ability Enhancement Compulsory Course

Stability 310 4 EEM-350 Minor Project 0 0 16 8 EEM-450 Dissertation 0 0 24 12

EEM-203 Transducer techno logy EEM-211 Transmiss ion and Distribution

Automation


310 4

310 4

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Department of Electri ca l Engineering Facu lty of Engineering and Technology

Jam ia Millia Jslamia, New Delhi

M. Tech. in Electrical Power System Management (EPSM)

Course Structure under the Choice Base Credit System (CBCS) Catego ry of C ourses Ab brevia tion DC: Departmental core L Lecture CBCS: Cho ice Based Credit System T T utori a l SEC: Ski ll Enhancement Courses P Practi cal AECC: Ability Enhancement Compu lsory Co urse CCA Continuous C lass Assessme nt DE: Departmenta l e lectives MS E Mid Semester Eva luation

MT h . El t . 1 P s t M t I Y Eff f f J 1 2015 I Y B ec . Ill j ec nca ow er •vs em anagemen - ear, ec 1ve rom u1v ear ate 1 ' Firs t Semester

s. Co urse No. Course Name Type of Periods Per Examination Scheme No Course Q week (D istribution of Marks)

~ Mid Semester Evaluation Encl Semes.ter Total u L T p CCA MSE- 1 MSE-2 Eva luatio n Marks

01 EEM- 10 1 Inte l Ii gent Techniques CBCS 4 3 I - 10 15 15 60 100

02 EEM- 107 Automati on Systems DC 4 3 I - 10 15 15 60 100

03 EE M- 109 Power System Mode ling DC 4 3 I - 10 15 15 60 100

04 EEM-111 Renewabl e and Sustainab le DC 4 3 I - 10 15 15 60 100

Ene rgy Systems 05 - Elective- I DE 4 3 I - 10 15 15 60 100

PRACTI CAL (LAB.) 06 EE P-1 34 SCA DA Lab SEC 2 - - 4 30 - - 20 50

Tota l 22 550 Elective - I: EEM-106 App lied Mathematics for Engineers/EEM- 11 2 Mode li ng and Simu lation/EEM -11 3 Power Quali ty and FACTS

Second Semester 01 EEM-20 1 Optimi zation Techniques C BCS 4 3 I - 10 15 15 60 100

02 EE M-209 Power System Dynamics DC 4 3 I - 10 15 15 60 100 and Sta bi I ity

03 EE M-2 11 Trans miss ion and AECC 4 3 I - 10 15 15 60 100 Distribution Automation

04 - Elective- II DE 4 3 I - 10 15 15 60 100

05 - Elective-Ill DE 4 3 I . - 10 15 15 60 100

PRACTICA L (LAB.) 06 EE M-239 Power System Auto mat ion SEC 2 - - 4 30 - - 20 50

Laboratory EEM-240 Seminar SEC 2 - - 4 30 - - 20 50

Total 24 Tota l 600 Elective -1 1: EEM-2 13 Digital Power System Protection/EEM- 2 14 Power System Pl anning and Reliability Electi ve- III: EEM-204 Communi cati on Protoco l/ EEM-2 15 Power System Ana lys is

M T I . E l t . 1 P s t M t II Y Ef~ f f J 1 2016 I Y B t I ec 1. Ill j ec nca ow er •VS em anagemen - ear, j ec tve rom UIV ear a c 1 ' T hird Semester

S. Course No. Course Name Type of Periods Per Examination Scheme No Course f-- week (D istr ibution of Marks) iS

~ Mid Semester Eva luat ion Encl Semester Total

u L T p cc MS E-1 MSE-2 Eva luation Marks A

0 1 - Elective - IV SEC 4 3 I - 10 15 15 60 100 02 - Elective - V C BCS 4 3 I - 10 15 15 60 100 PRACTICAL (LAB.) 06 EEM-350 Minor Project DC 8 - - 16 120 - - 80 200

Total 16 400 Elective - IV: EEM 307 Restruct uring and Deregulation or Power System/ EEM 306 Advanced Power Electronics Elective - V: EEM-308 Smart Grid Technologies/EEM 309 El-IVAC and DC Transmission

Fo urth Semester

0 1 EE M-450 Di ssertation DC 12 - - 24 180 -

Total 12

Total Credits (22+24+ 16+ 12=74)

I - 120 300

""'· Total 300

l't¥J,,/)' 0 y ()t('IP!' Deptt. o r:..{ ,,-a1 Eng ~neenng Faculty of [ , ' & Tech. Jamia Millia lslamia New Delhi-1 10025

Department of Electri ca l Engineering Faculty of Engineering and Technology

Jami a Millia lslamia, New Delhi , INOLA

List of Con rses for PG

Programme: M. Tech. in Control and Instrumentati on (CIS) M. Tech. in Electri cal Power System Management (EPSM)

The overall credits structure for C IS C ore Courses Elective Courses Category Credits Category Credits DC: 32 CBCS: 12 SEC: 10 DE: 16 AECC 04 - -

Total 46 Tota l 28 Total C redits=74

The overall credits structure for EPSM C ore Courses Elective Courses Category Cred its Category Credits DC: 36 CBCS: 12 SEC: 10 DE: 12 AECC 04 - -Total 50 Total 24 Total C redits=74

CBCS: Choice Based Credit System Course No. Course Title LT P

EEM-101 Intelligent Techniques 310 EEM-201 Optimization Techniques 310 EEM-303 Multi Sensor Data Fusion 310 EEM-304 Biomedica l Instrumentation 310 EEM-305 Non Linear Control System 310 EEM-306 Advanced Power Electronics 310 EEM-308 Smart Grid Techno logies 310 EEM -309 EHVAC and DC Transmi ss ion 310

DC: Departmental core EEM-102 Instrumentation Systems 310 EEM-103 Optimal Control Th eory 310 EEM-109 Power System Modeling 310

Credits 4 4 4 4 4 4 4 4

4 4 4

DE: Departmental electives EEM-104 Modelling and Simulation EEM-105 Robotics and Control EEM-106 Applied Mathematics for

Engineers EEM-107 Automation Systems EEM-108 Process Control EEM-112 Modeling and Simulation EEM -113 Power Quality and FACTS EEM-204 Communication Protocol EEM-205 Advance Digita l Signal

Process ing EEM-206 Smart sensors and Internet

ofThings EEM-207 Embedded Systems EEM-208 Digital Control System EEM-213 Digita l Power System

Protection EEM-214 Power System Planning and

Reliability EEM-215 Power System Ana lysis

SEC: Skill Enhancement Courses EEM-132 Instrumentation System Lab EEM-134 SCADA Lab EEM-232 EEM-339

EEM-240 EEM-301 EEM-302 EEM-306

Advance Control System Lab Power System Automat ion Laboratory Seminar Digita l Instrumentation Wireless Sensor Networks Advanced Power Electronics

EEM 307 Restructuring and Deregu lation

310 4 310 4

310 4 310 4 310 4 31 0 4 310 4 310 4

310 4

3 1 0 4 310 4 310 4

310 4

3 1 0 4 310 4

004 2 004 2 004 2

004 2 004 2 310 4 310 4 310 4

EEM-111 Renewable and Sustainable of Power System 3 1 0 4

Energy System s 310 4 EEM-202 Adaptive and Robust Contro l 310 4 EEM -209 Power System Dynamics and

Stabi lity 310 4 EEM-350 Minor Project 0 0 16 8 EEM-450 Dissertation 0 0 24 12

AECC: Ability Enhancement Compulsory Course EEM-203 Transducer technology EEM-211 Transmission and Distribution

Automation


310 4

310 4

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Department of Electrica l Engineering Facul ty of Engineering and Technology

Jarnia Millia lslam ia, New Delhi

M. Tech. in Control and Instrumentat ion (CIS)

Course Structure under the Choice Base Cred it System (CBCS) Category of Courses Abbreviation DC: Departmental core L Lecture C BCS: C hoice Based Credit System T Tutoria l SEC: Ski ll Enhancement Courses P Practica l AECC: Ability Enhancement Compu lsory Course CCA Continuous C lass Assessme nt DE: Departmental e lectives MSE Mid Semester Eva luation

MT c t I I t t t' IY Eff f f J I 2015 I Y B t I ec 1. m on ro anc ns rumen a ion- ear, i ec ave rom u 1y ear a c 1 ' First Semester

S. Course No. Co urse Name Type of Periods Per Examination Scheme No Course Ci week (Distribution of Marks)

~ Mid Semester Evaluat ion Encl Semester u L T p CCA MSE- 1 MSE-2 Eva luatio n

01 EEM-101 Intelli gent Techniques CBCS 4 3 I - 10 15 15 60 02 EE M- 102 Instrumentat ion Sys tems DC 4 3 I - 10 15 15 60 03 EEM-103 Optimal Control Theory DC 4 3 I - 10 15 15 60 04 - Electi ve I DE 4 3 I - 10 15 15 60 05 - Electi ve - 11 DE 4 3 I - 10 15 15 60 PRACTlCAL (LAB.) 06 EEM- 132 Instrumentation System Lab SEC 2 - - 4 30 - - 20

Total 22 Elective - I: EEM- 104 Modelling and Simulation/EE M- 105 Roboti cs and Contro l/EE M-106 App lied Mathematics fo r Enginee rs Elective -II: EEM -107 Automation Systems/EEM-108 Process Contro l

Second Semes ter 01 EE M-201 Optim iza tion Tech niques CBCS 4 3 I - 10 15 15 60 02 EE M-202 Adapti ve and Robust Control DC 4 3 I - 10 15 15 60 03 EEM-203 Transducer Technology AECC 4 3 I - 10 15 15 60 04 - Electi ve Ill DE 4 3 I - 10 15 15 60

05 - Electi ve - IV DE 4 3 I - 10 15 15 60 PRACTICAL (LAB.) 06 EEM-232 Advance Contro l System Lab SEC 2 - - 4 30 - - 20

07 EE M-240 Seminar SEC 2 - - 4 30 - - 20 Total 24 Total

Electi ve -III: EE M-204 Communication Protoco l/ EEM-205 Advance Digital Signal Processing Elective - IV: EEM-206 Smart sensors and In ternet ol'Th ings/EE M-207 Embedded Systems/EEM-208 Digital Control System

M T h . C t d I t t t' lI y EU t' f J I 2016 I Y B t I ec .Ill on ro an ns rumen a ion- ear, j ec 1ve rom u 1y ear a c 1 ' Third Semes ter

S. Course No. Course Name Type of Periods Per Examination Scheme No Course Ci week (Distribution or Ma rks) w

~ Mid Semester Eva luation Encl Semester u L T p CCA MSE- 1 MSE-2 Eva luation

0 1 - Electi ve - V SEC 4 3 I - 10 15 15 60 02 - Electi ve - VI C BCS 4 3 I - 10 15 15 60 PRACTICAL (LAB.) 06 EEM-350 Minor Project DC 8 - - 16 I 120 - - I 80

Total 16 Elect ive -V: EEM-30 I Digital lnstnnnentati on/EE M-302 Wireless Sensor Networks Elective -V I: EE M-303 Mult i Sensor Data Fusion/EEM-304 Biomed ica l lnstrumentation/EEM-305 Non Linea r Cont ro l System/

EE M-306 Advanced Power Electron ics Fourth Semester

0 1 EE M-450 Dissertation DC 12 - - 24 I 180 I - I - I 120 Total 12 Total

Total Credits (22+24+ 16+ 12) =74

&lb) /;-• ., (-' Ill L

Tota l Marks 100 100 100 100 100

50 550

100 100 100 100 100

50

50 600

Total Marks

100 100

200 400

300 JOO

Deptt. of Electrica l Engineering Faculty of Engg. & Tech. Jamia Millia lslamia New Delhi-110025

COURSE STRUCTURE AND CURRICULUM

(w.e.f. 2013-2014)

M. TECH. PROGRAMME CONTROL AND INSTRUMENTATION SYSTEMS

1

COURSE STRUCTURE

M. Tech. (Control and Instrumentation Systems)

SEMESTER I

COURSE NUMBER COURSE NAME

TEACHING SCHEME (PERIODS PER WEEK)

EXAMINATION SCHEME (DISTRIBUTION OF MARKS) TOTAL

MARKS CREDIT L T P

Mid Semester Evaluation

End Semester Evaluation

CCA MTE EEM-101 Intelligent Techniques 3 1 0 10 30 60 100 4 EEM-102 Automation System 3 1 0 10 30 60 100 4 EEM-103 Instrumentation Systems 3 1 0 10 30 60 100 4 EEM-105 Optimal Control Theory 3 1 0 10 30 60 100 4 Elective-I 3 1 0 10 30 60 100 4 EEM-153 Instrumentation Systems Lab 0 0 4 20 10 20 50 2 TOTAL 15 5 4 70 160 320 550 22

SEMESTER II




MARKS CREDIT L T P



CCA MTE EEM-201 Optimization Techniques 3 1 0 10 30 60 100 4 EEM-202 Communication Protocols 3 1 0 10 30 60 100 4 EME-205 Adaptive & Robust Control 3 1 0 10 30 60 100 4 EEM-206 Transducer Technology 3 1 0 10 30 60 100 4 Elective-II 3 1 0 10 30 60 100 4 EEM-251 Seminar 0 0 4 20 10 20 50 2 EEM-255 Advance Control Systems Lab 0 0 4 20 10 20 50 2 TOTAL 15 5 8 90 170 340 600 20

SEMESTER III




MARKS CREDIT L T P



CCA MTE Elective-III 3 1 0 10 30 60 100 4 Elective-IV 3 1 0 10 30 60 100 4 EEM-351 Minor Project 0 0 16 40 80 80 200 8 TOTAL 6 2 16 60 140 200 400 16

SEMESTER IV




MARKS CREDIT L T P



CCA MTE EEM-451 Dissertation 0 0 24 80 100 120 300 12 TOTAL 0 0 24 80 100 120 300 12

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2

Elective I 1. EEM-106 Modeling and Simulation

2. EEM-107 Applied Mathematics for Electrical Engineers

Elective II

1. EEM-211 Embedded Systems

2. EEM-212 Advanced Digital Signal Processing

Elective III 1. EEM-311 Wireless Sensor Networks

2. EEM-312 Multisensor Data Fusion

3. EEM-313 Advance Process Control

Elective IV 1. EEM-316 Advanced Power Electronics

2. EEM-317 Mechatronics

3. EEM-318 Biomedical Instrumentation

4. EEM-319 Robotics

3

EEM-101 Intelligent Techniques L-T-P (3-1-0) Credit (4)

Unit I: Soft Computing Hard Computing: Features of Hard Computing, Soft Computing: features of soft computing, Hybrid Computing, Fuzzy Set Theory: fuzzy versus crisp sets, basic fuzzy set operations, linguistic variables, membership functions, fuzzy Cartesian product, fuzzy relations, fuzzy rules.

Unit II: Fuzzy Implications Approximate reasoning, fuzzy modelling, fuzzification, inferencing and defuzzification, fuzzy modeling and control schemes for nonlinear systems, applications in power system.

Unit III: Fundamentals of Neural Networks Biological neural networks, models of an artificial neuron, neural network architectures, characteristics of neural networks, McCulloch-Pitts neuron, learning methods, Hebbian learning rules, Hebb nets.

Unit IV: Backpropagation Networks Architecture of backpropagation networks, perceptron model, single layer and multi-layer perceptron models, backpropagation learning, tuning parameters of backpropagation networks, neuro-fuzzy models, adaptive neuro-fuzzy inference system (ANFIS), applications.

Unit V: Neuro-Fuzzy Systems Architectures of neuro-fuzzy systems; Cooperative neuro-fuzzy systems, Neural Network driven fuzzy reasoning, Hybrid neuro-fuzzy system; Construction of neuro-fuzzy systems: Structure if identification phase, parameter learning phase.

Text/Reference Books: 1. Fakhreddine O. Karray and Clarence W De Silva, “Soft Computing and Intelligent

Systems Design: Theory, Tools and Applications” Pearson Education. 2. S. Rajasekaran and G. A. Vijayalakshmi Pai, “Neural Networks, Fuzzy Logic, and

Genetic Algorithms: Synthesis and Applications”, Prentice Hall of India, New Delhi. 3. George J. Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic: Theory and applications,

Prentice Hall of India, New Delhi. 4. Jyh-Shing Roger, Chuen-Tsai Sun, Eui Mizutani, Neuro-fuzzy and Soft Computing: A

Computational Approach to Learning and Machine Intelligence, Prentice Hall of India, New Delhi.

5. Simon S Haykin, “Neural networks and learning machines”, Prentice Hall of India, New Delhi.

4

EEM 102 Automation Systems L-T-P (3-1-0) Credit (4)

Unit I Automation systems, Advantages of automation, Components of process control systems, Evolution of Control systems. Single loop control, Centralized control, Distributed control systems, Open systems, SCADA systems. Types of data available, Analog, Digital, Pulse data, Redundancy. Data communication components and protocols.

Unit II: Programmable Logic Controllers (PLC) Functional description, input/output systems, CPU, memory Unit, Programmer Units, Peripheral devices, PLC Vs Computers, Advantages of PLCs, controller programming tools, Ladder Diagram programming. phase locked loop, Interposing relays, type and structure of relays.

Unit III: Distributed Control Systems (DCS) PLC Vs DCS systems, DCS architecture, Local control units, dedicated card controllers, Unit Operations controllers, DCS multiplexers, DCS system integration, Automation Standards, salient features.

Unit IV: Supervisory Control and Data acquisition (SCADA) Systems, Types of supervisory systems, Components of SCADA Systems. Remote terminal unit (RTU), Communication subsystem, Protocols, Logic subsystem, termination subsystem, test and power supply subsystem, Phasor measurement Units, Phasor Data concentrator and communication, Intelligent Electronic Devices.

Unit V: SCADA master station configurations, hardware and software components, Communication systems, Human Machine interface. SCADA application functions, Intelligent Electronic devices. Practical PLC, DCS, PMU and SCADA applications and implementations

Text/Reference Books:

1. Automation Handbook Vol I Bela G. Liptac, CRC Press. 2. Fundamentals of Supervisory systems, IEEE tutorial. 3. John W Webb & Ronald A Reiss, Programmable Logic Controllers, principles and

applications, Prentice Hall of India. 4. Related Research papers.

5

EEM-103 Instrumentation Systems L-T-P (3-1-0) Credit (4)

Unit- I Transducer Characteristics : General concepts and terminology of measurement systems: Transfer Function, Span (Full-Scale Input), Full-Scale Output, Accuracy, Calibration, Calibration Error, Hysteresis, Nonlinearity, Saturation, Repeatability, Dead Band, Resolution, Special Properties, Output Impedance, Excitation, Dynamic Characteristics, Environmental Factors, Reliability. Modeling and analysis of the measuring system, standards and calibration of the measuring instrument.

Unit-II Transducers: Classifications, working principle, construction and design of various active and passive transducers. Voltage and current transducers, Tap position transducers. Hall effect transducers, optical transducers. Semiconductor traducers for physical and chemical parameters measurement.

Unit-III Design of detection electronics and signal conditioning circuits for various resistive, capacitive, inductive transducers. Active filters, Impedance matching, loading effect. Introduction to electromagnetic coupling (EMC), inference coupling mechanism, shielding. Concepts of interfaces with digital device like computer, microcontroller microprocessor.

Unit-IV Applications of Industrial transducers: Hotwire anemometer, infrared, seismic and nuclear energy transducer, Transducers activated RFID tags.

Unit-V Controller modes Discontinuous, two positions, multi position, floating control, continuous control, proportional, integral, derivative and composite modes of control.


1. C.D. Jhonson, Process Control Instrumentation Technology, PHI, India. 2. Doeblin E.O. Measurement Systems-Application and Design, Fourth Edition, McGraw

Hill International Edition, New York. 3. Jacob Fraden, Hand book of Modern Sensors: Physics, Design and applications,

publication by Springer. 4. John P. Bentley, Principle of measurement systems, Third edition, addition Wesley

Longman Ltd. 5. Gregory K. McMillan and Doughlas M. Considine, Industrial Instruments and Controls

handbook, Tata Mc Graw Hill. 6. L.D. Goettsche, Maintenance of Instruments and Systems – Practical guides for

measurements and control, ISA.

6

EEM-105 Optimal Control Theory L-T-P (3-1-0) Credit (4)

UNIT I Mathematical Modelling and Performance Measures Problem formulation – Mathematical model – Physical constraints - Performance measure Optimal control problem. Standard form of optimal control problem. Performance measures/indexs for optimal control problem. Selection of performance measure/index.

UNIT II Linear Regulator Problems Derivation of Matrix Riccati equation. Use of linear state regulator theory to design and solve other linear optimal control problems. Sub optimal linear regulators- continuous time systems. Minimum time problems – Minimum control – effort problems. Optimal and sub-optimal linear regulators for discrete time systems, Singular intervals in optimal control problems.

UNIT III Dynamic Programming Optimal control law – Principle of optimality. Optimal control system. Recurrence relation of dynamic programming – computational procedure. Characteristics of dynamic programming solution. Hamilton – Jacobi – Bellman equation. Continuous linear regulator problems.

UNIT IV Calculus of Variations Fundamental concepts. Functionals. Piecewise – smooth extremals Constrained extrema. Variational approach to optimal control problems – Necessary conditions for optimal control– Linear regulator problems. Linear tracking problems. Pontryagin’s minimum principle and state inequality constraints.

UNIT V Numerical Techniques For Optimal Control Numerical solution of 2-point boundary value problem by steepest descent method, Fletcher Powell method solution of Ricatti equation by negative exponential and interactive methods, Multi stage decision process in discrete time, Multi stage decision process in continuous time – Numerical solution of Two point boundary –value problems. Methods of steepest decent and variation of extremes. Quasi-linearization. Gradient projection algorithm. Minimization of functions

Text /Reference Books:

1. Donald E. Kirk, Optimal Control Theory: An Introduction, Prentice-Hall networks series. 2. Anderson .B. D. O, Moore .J. B, Optimal control linear Quadratic methods, Prentice Hall

of India, New Delhi. 3. Sage A. P, White .C. C, Optimum Systems Control, Second Edition, Prentice Hall. 4. D. S. Naidu. Optimal Control Systems, CRC Press. 5. B.A Francis, A course in H control theory, Lecture notes in control and Information

Sciences, Spriger-Verlag.

7

EEM-106 Modeling And Simulation L-T-P (3-1-0) Credit-4

UNIT-1: System Models The concepts of a system, System environment, Stochastic activities, Continuous and Discrete Systems, System Modeling, Types of models, Static physical models, Dynamic physical models, Static mathematical models, Dynamic mathematical models, Principles used in modeling.

UNIT-II: System Simulation The technique of Simulation, The Monte Carlo method, Comparison of simulation and analytical methods, Experimental nature of simulation, Types of system simulation, Numerical computation technique for continuous models, Numerical computation technique for Discrete models, Distributed lag models, Cobweb models, Progress of a simulation study.

UNIT-III: Probability Concepts in Simulation Stochastic variables, Discrete probability functions, Measures of probability functions, Continuous uniformly distributed random numbers, Random number generators (RNG), multiplicative congruential method, Mixed multiplicative congruential method, Other methods of random number generation.

UNIT-IV: Basic Queuing Models and Arrival patterns Congestion in Systems, Arrival patterns, Poisson arrival patterns, Exponential distribution, Coefficient of variation, The Erlang distribution, Hyper-exponential distribution, Service times, Normal distribution, Basic queuing models, Short hand notation for queuing and loss models, Queuing disciplines, Measures of queues, Mathematical solutions of queuing problems.

UNIT-V: Simulation Experiments and Statistical Data Analysis Experiments and Statistical inference, Nature of the problem, Estimation methods, Simulation run statistics, Replication of runs, Elimination of initial bias, Batch means, Regenerative techniques, Time series analysis, autoregressive processes, Validation and Testing of simulation models.

Text /Reference Books:

1. Gordan G., “System Simulation,” Prentice Hall of India. 2. Kobayashi H., mark B. L., “System Modeling and Analysis,” Pearson Education, Inc,

New Delhi.

8

EEM-107 Applied Mathematics for Electrical Engineers L-T-P (3-1-0) Credit (4)

UNIT-I Advanced Matrix Theory Eigen-values using QR transformations – Generalized eigen vectors – Canonical forms – Singular value decomposition and applications – Pseudo inverse – Least square approximations.

UNIT-II Linear Programming Formulation – Graphical Solution – Simplex Method – Two Phase Method – Transportation and Assignment Problems.

UNIT-III One Dimensional Random Variables Random variables - Probability function – moments – moment generating functions and their properties – Binomial, Poisson, Geometric, Uniform, Exponential, Gamma and Normal distributions – Function of a Random Variable.

UNIT-IV Queueing Models Poisson Process – Markovian queues – Single and Multi Serve r Models – Little’s formula – Machine Interference Model – Steady State analysis – Self Service queue.

UNIT-V Computational Methods in Engineering Boundary value problems for ODE – Finite difference methods – Numerical solution of PDE – Solution of Laplace and Poisson equations – Liebmann's iteration process – Solution of heat conduction equation by Schmidt explicit formula and Crank- Nicolson implicit scheme – olution of wave equation.


1. Bronson, R., Matrix Operation, Schaum’s outline series, McGraw Hill, New York. 2. Taha, H. A., Operations Research: An Introduction, Seventh Edition, Pearson Education

Asia, New Delhi. 3. R. E. Walpole, R. H. Myers, S. L. Myers, and K. Ye, Probability and Statistics for

Engineers & Scientists, Asia. 4. Donald Gross and Carl M. Harris, Fundamentals of Queueing theory, John Wiley and

Sons, New York.

9

EEM-153 Instrumentation Systems Lab L-T-P (0-0-4) Credit (2)

This laboratory course is designed based on theory course of “Instrumentation Systems” (EEM-103). There are around 8-10 experiments to be conducted by the students covering almost all units of theory course. The experiments include response characteristics of thermistor, current measurement using Hall effect transducer, controller using optical transducer (LDR), response characteristics and coefficients of RTD, phase detection electronics circuit for capacitive transducer with 7556 dual timer, active bridge circuit, active low and high pass filter, LABVIEW® and DAQ card for LVDT transducer, pressure measurement at remote location using RFID activated transducer. Also it is expected that the students must learn to use the latest equipment and software so that the Industry gets trained Engineers.

10

EEM-201 Optimization Techniques L-T-P (3-1-0) Credit (4)

UNIT-I Introduction to optimization, functions of single variable, functions of several variables, formulation of optimization problems. Review of classical methods, linear programming, nonlinear programming.

UNIT-II Constraint optimality criteria, constrained optimization, constraint direct search method, linearization methods for constrained problems, transformation method. Nonlinear programming: problem formulation, Quadratic Approximation Methods for Constrained Problems Unconstrained minimization techniques.

UNIT-III Dynamic programming: sub-optimization, multistage optimization problem. Multi-objective and goal programming: problem formulation, solution of a multi-objective problem. Case studies

UNIT-IV Introduction to Stochastic Optimization Techniques, types: Local Search, Population Based, Introduction to Genetic Algorithms, Motivation from Nature, Genetic Algorithms: Working Principle: Representation, Fitness Assignment, Reproduction, Crossover, Mutation, Constraint Handling, Real Parameter Genetic Algorithms, Combined Genetic Algorithm, Advanced Genetic Algorithms, Applications.

UNIT-V Ant Colony Optimization: Introduction, Ant System, Ant Colopny System, ANTS, Significant Problems, Convergence Proofs. Discrete Particle Swarm Optimization (PSO): Introduction, PSO Elements: Position and State Space, Objective Function, Velocity, PSO Algorithm, Examples and Results, Applications.


1. Singiresu S. Rao, ‘Optimization Techniques’, New Age International Publishers. 2. D. P. Kothari and J. S. Dhillon, ‘Power System Optimization, Tata McGraw Hill. 3. C. Mohan and Kusum Deep, ‘Optimization Techniques, New Age International

Publishers. 4. Godfrey C. Onwubolu, B. V. Babu, “New Optimization Techniques in Engineering”,

Springer-Verlag. 5. Marco Dorigo, Thomas Stützle, “Ant colony optimization”, MIT Press. 6. Thomas Wiesi, “Global Opimization Algorithms”, ebook. http://www.it-weise.de/.

11

EEM-202 Communication Protocols L-T-P (3-1-0) Credit (4)

UNIT-I: Introduction to Communication Protocols Data Communication basics, OSI reference model, Network Classification, Device Networks, Control Networks, Enterprise Networks.

UNIT-II: Networks in Process Automation Introduction to Networks in process automation, Information flow requirements, Industry Networks, Network selection.

UNIT-III: Proprietary and open networks Network Architectures, Building blocks, Industry open protocols: RS-232, RS- 422, RS-485, Ethernet, Modbus, Profibus, Fieldbus; Hardware: Fieldbus Design, Advantages and Limitations.

UNIT-IV: Introduction to wireless Protocols WPAN, Wi-Fi, Bluetooth, ZigBee, Z-wave, IRIB-B.

UNIT-V: Communication Protocols for Power System Communication requirements for power system automation, Protocols used, Need for Interoperable Communication, Overview of IEC 61850 Standard: Data Models, Communication Services, GOOSE Communication: Implementation and its advantages.

Text/References/Books:

1. B.G. Liptak, ‘Process Software and Digital Network”, CRC Press ISA- The Instrumentation, Systems, and Automation Society.

2. User Manuals of Foundation Fieldbus, Profibus, Modbus, Ethernet, Devicenet, Controlnet, IEC 61850.

3. Peterson Davie, “Computer Networks—A System Approach”, Maugann Kauffmann Publisher.

12

EEM-205 Adaptive and Robust Control L-T-P (3-1-0) Credit (4)

UNIT-I System Identification: Introduction, dynamic systems, models, system identification procedure. Simulation and Prediction. Non-parametric time and frequency domain methods. Linear dynamic system Identification: Overview, excitation signals, general model structure, time series models, models with output feedback, models without output feedback. Convergence and consistency.

UNIT-II Parameter estimation methods, minimizing prediction errors, linear regressions and Least squares method, Instrumental – variable method, prediction error method. Recursive algorithms. Closed-loop Identification.

UNIT-III Adaptive Control: Close loop and open loop adaptive control. Self-tuning controller. Auto tuning for PID controllers: Relay feedback, pattern recognition, correlation technique.

UNIT-IV Adaptive Smith predictor control: Auto-tuning and self-tuning Smith predictor. Adaptive advanced control: Pole placement control, minimum variance control, generalized predictive control.

UNIT-V Robust control. Definition and problem statement, the H(n) norm, H∞ norm, frequency domain formulation, state space formulation robust stabilization H2 optimal control, H∞ control.


1. Ljung .L, System Identification: Theory for the user, Prentice Hall, Englewood Cliffs. 2. Astrom .K, Adaptive Control, Second Edition, Pearson Education Asia Pte Ltd. 3. Chang C. Hong, Tong H. Lee and Weng K. Ho, Adaptive Control, ISA press, Research

Triangle Park. 4. Nelles. O, Nonlinear System Identification, Springer Verlag, Berlin.

13

EEM-206 Transducer Technology L-T-P (3-1-0) Credit (4)

UNIT-I Chemical transducer characteristics, specific difficulties, sensing mechanism, Toxic gas transducer: metal oxide, chemFET, electrochemical transducer, potentiometric, conductometric, amperometric, biochemical, enzyme transducer.

UNIT-II Special Transducers: Tactile, Piezoelectric, Magnetostrictive, Magneto resistive, Electromagnetic transducers, thermo-electric transducer, semiconductor temperature transducer, pH measurement, ultrasonic transducer for viscosity measurement. Transducer arrays, electronic nose, signal processing for electronic nose, smart transducer.

Unit III: Dissolved Gas Analysis (DGA) of Transformer Oil Dissolved gas in transformer oil, dissolved gas analysis (DGA), Standards for interpretation of DGA, DGA base fault diagnosis methods: Rogers Ratio Method, Dornenburg’s Method, Duval’s Triangle Method and softomputing techniques.

UNIT-IV Digital Interfacing techniques. Interfaces, processors, code converters, linearizers. Single transmission .Cable transmission of analog and digital signal, fibre optic signal transmission, radio, telemetry, pneumatic transmission.

UNIT-V Signal Display/Recording systems. Graphic display systems, storage oscilloscope, recorders:ink, thermal, UV.


1. Doeblin E.O. Measurement Systems-Application and Design, Fourth Edition, McGraw Hill International Edition, New York.

2. Jacob Fraden, Hand book of Modern Sensors: Physics, Design and applications, publication by Springer.

3. Patranabis, D – Sensors and Transducers, Wheeler Pub., New Delhi. 4. Murthy, D.V.S., Transducers and Instrumentation, PHI, New Delhi. 5. Swobada, G; Telecontrol: Methods and Applications of Telemetry and Remote Control. 6. Van Nostrand. Newbert, H. K. – Instrument Transducers, Oxford University Press.

14

EEM-211 Embedded System Design L-T-P(3-1-0) Credit (4)

Unit-1 Introduction to embedded systems: Categories of embedded systems, overview of embedded system architecture, Microcontroller programming and structured design, Factors to be considered in selecting a microcontroller, recent trends in embedded systems.

Unit-2 Custom Single purpose Processor: RT level combinational components, RT level sequential components. Custom single purpose processor design; RT level Custom single purpose processor design, General purpose processor: basic architecture, data path, control unit.

Unit-3 Real Time Operating System (RTOS) based Embedded System Design: Operating system basics, Types of operating systems, Tasks, process and threads, Multiprocessing and Multitasking, Task scheduling, Threads, processes and scheduling: putting them altogether, Task communication, Task synchronization, Device Drivers, How to choose an RTOS.

Unit-4 Overview of 8051 microcontrollers. Designing with 8051, why 8051 microcontroller, Programming with 8051 microcontroller, different addressing modes supported by 8051 microcontroller., The 8051 instruction sets. Some examples of System design using 8051/8052 microcontroller.

Unit-5 Introduction to AVR family of microcontrollers, Introduction to AtXmega 128A1 Microcontroller, AVR CPU, EBI- external bus interference, DMAC, system clock and clock option, Power management, Programmable multilevel interrupt controller, I/O ports, instruction set. Design examples using AtXmega128A1.


1. “Embedded System Design- A Unified Hardware/ Software Introduction”, Frank Vahid and Tony Givar gis, John Wiley & Sons.

2. “Introduction to Embedded Systems”, Shibu K V, Tata McGraw Hill. 3. “The 8051 Microcontroller and Embedded systems”, Mazidi M L, Mazidi J G, Mckinlay

R D, Pearson Education Inc, New Delhi. 4. “Embedded C Programming and the Atmel AVR”, Barnett R, O’Cull L, Cox S, Thomson

Delmar Learning, Canada. 5. “X-Mega- A Manual”- Atmel Corporation.

15

EEM-212 Advanced Digital Signal Processing L-T-P (3-1-0) Credit (4)

Unit -I Review of Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT). Convolution and Correlation. Time frequency analysis and its need. Short time Fourier Transform.

Unit - II. Multirate digital signal processing: Basic multirate operations. Efficient structures for decimation and interpolation. Decimation and interpolation and interpolation with polyphase filters. Sampling rate conversion by non-integer factor. Design of practical sampling rate converters. Multirate filtering applications.

UNIT-III Spectrum Estimation and Analysis: Principles of spectrum estimation. Periodogram method, modified Periodogram methods, the Blackman-Tukey methods, fast correlation method. Autoregressive spectrum estimation: Autoregressive model and filter. Power spectrum density of AR series. Some practical applications.

Unit -IV Adaptive Filtering: Principles of adaptive filtering. Least mean square (LMS) adaptive algorithm its implementation and limitations. Recursive least square (RLS) adaptive algorithm, its implementation and limitations. Basic Wiener filter theory. Applications of adaptive filters in noise cancellations, echo cancellation.

Unit – V Digital Signal Processors: Basic computer architectures for signal processing. General purpose digital signal processors; fixed point digital signal processors and floating point digital signal processors. Implementation of DSP algorithms on general purpose digital signal processors.


1. Emmanuel C. Ifeachor and B. W. Jervice, “ Digital Signal Processing”, Pearson Education, New Delhi.

2. Li Tan, “Digital Signal Processing” Published by Elsevier Inc., New Delhi. 3. B. Widrow and S. D Stearns, “Adaptive Signal Processing”, Pearson Education, New

Delhi. 4. Simon Hykins, “Adaptive Filter Theory”, Prentice Hall, New Jersey.

16

EEM-251 Seminar L-T-P (0-0-4) Credit (2)

All the students of II semester will be required to deliver a seminar on the topic relevant to recent trends in “Control and Instrumentation Systems” using power point presentation. Topics are selected in consultation with their supervisors. Presentation will be of 15 minutes duration followed by a question answer session at least two times in a semester before the duly constituted committee of the Faculty Members of the department. The assessment by the committee members are a part of Mid Term Evaluation. A report of the seminar in the form of hard copy must also be submitted in the office before the final evaluation by External Examiners.

EEM-255 Advance Control Systems Laboratory L-T-P (0-0-4) Credit (2)

This laboratory course is designed based on theory course of “Adaptive & Robust Control” (EEM-205). There are around 8-10 experiments to be conducted by the students covering almost all units of theory course. The experiments include angular position error detector, DC motor angular position control system, simulation of linear systems, DC motor speed control system etc. The objective of the lab practice is to develop and enhance students’ analytical and problem tackling skills. Also it is expected that the students must learn to use the latest equipment and software so that the Industry gets trained Engineers.

17

EEM-311 Wireless Sensor Networks L-T-P (3-1-0) Credit (4)

Unit I Introduction Introduction and overview of Wireless Sensor Networks (WSN), Commercial and Scientific Applications of WSN, Category of Applications of WSN, Challenges for WSN, Enabling Technologies for WSN.

Unit II Architecture Single node Architecture: Hardware Components, Energy Consumption of Sensor nodes, Operating Systems and Execution Environments, Examples of Sensor Nodes, Network Architecture: WSN Scenarios, Optimization Goals and figures of Merits, Design principles for WSNs, Service Interfaces for WSNs, Gateway Concepts.

Unit III Protocols Physical Layer: Wireless Channel and Communication Fundamentals, Physical Layer & Transceiver Design Considerations in WSN, MAC Protocols: Fundamentals, MAC Protocols for WSNs, IEEE802.15.4 MAC Protocol, Routing Protocols: Gossip and agent based unicast protocols, Energy Efficient Unicast, Broadcast and Multicast, Geographic Routing, Transport Control Protocols: Traditional Protocols, Design Issues, Examples of Transport Protocols, Performance of Transport Control Protocols.

Unit IV Information Processing Sensor Tasking and Control: Information-Based Sensor Tasking, Joint Routing Information Aggregation, Sensor Network Databases: Challenges, Query Interfaces, In-Network Aggregation, Data Centric Storage, Data Indices and Range queries, Distributed Hierarchical Aggregation, Temporal Data.

Unit V Platform & Tools Operating Systems for Sensor Networks: Introduction, Design Issues, Examples of Operating Systems, Node Level Simulators, Performance and Traffic Management Issues: WSN Design Issues, Performance Modelling of WSNs, Emerging Applications and Future Research Directions.


1. Kazem Sohraby, Daniel Minoli, Taieb Znati, “Wireless Sensor Networks: Technology, Protocols, and Applications”, John wiley & Sons.

2. Holger Karl, Andreas Willig, “Protocols and architectures for wireless sensor networks”, John wiley & Sons.

3. Feng Zhao, Leonidas Guibas, “Wireless Sensor Networks; An Information Processing Approach”, Elsevier.

4. C. S. Raghavendra, Krishna M. Shivalingam, Taieb Znati, “Wireless sensor networks”, Springer Verlag.

5. H. Edgar, Jr. Callaway, “Wireless Sensor networks, Architectures and Protocols”, CRC Press.

18

EEM-312 Multisensor Data Fusion L-T-P (3-1-0) Credit (4)

UNIT-I Introduction Sensors and sensor data, Use of multiple sensors, Fusion applications. The inference hierarchy: output data. Data fusion model. Architectural concepts and issues. Benefits of data fusion, Mathematical tools used: Algorithms, co-ordinate transformations, rigid body motion. Dependability and Markov chains, Meta – heuristics.

UNIT-II Algorithms for Data Fusion Taxonomy of algorithms for multisensor data fusion. Data association. Identity declaration.

UNIT-III Estimation Kalman filtering, practical aspects of Kalman filtering, extended Kalmal filters. Decision level identify fusion. Knowledge based approaches.

UNIT-IV Advanced Filtering Data information filter, extended information filter. Decentralized and scalable decentralized estimation. Sensor fusion and approximate agreement. Optimal sensor fusion using range trees recursively. Distributed dynamic sensor fusion.

UNIT-V High Performance Data Structures Tessellated, trees, graphs and function. Representing ranges and uncertainty in data structures. Designing optimal sensor systems with in dependability bounds. Implementing data fusion system.


1. David L. Hall, Mathematical techniques in Multisensor data fusion, Artech House, Boston.

2. R.R. Brooks and S.S. Iyengar, Multisensor Fusion: Fundamentals and Applications with Software, Prentice Hall Inc., New Jersey.

3. Arthur Gelb, Applied Optimal Estimation, M.I.T. Press. 4. James V. Candy, Signal Processing: The Model Based Approach, McGraw –Hill Book

Company.

19

EEM-313 Advanced Process Control L-T-P (3-1-0) Credit (4)

UNIT-I Review of basics of Process Control, Control objective and benefits, Elements of Process dynamics, interacting and non-interacting systems, Process degrees of freedom, Piping and instrumentation drawings

UNIT-II Fundamental of control valves, Types of control valves, control valves characteristics, control valves sizing and selection, Cavitations and Flashing problems in control valves,

UNIT-III Feedback control configuration, feed-forward control configuration, Cascade control configuration, Ratio control configuration, Spilt range control configuration, Internal Model controller (IMC), other types of control configuration, Statistical Process Control (SPC) concept, Design procedure.

UNIT-IV Effect of two position controller, effect of proportional controller mode, effect of Integral controller mode, effect of derivative controller mode, effect of composite (PID) controller mode, controller tuning methods, process reaction curve method, Quarter-amplitude criterion (Cohen-coon corrections), Ziegler-Nichols tuning method

UNIT-V Electronic implementation of controller modes, introduction to operational amplifiers, introduction to pneumatic elements, implementation of pneumatic controller modes, hydraulic implementation of controller modes

Case study: Design of Fuzzy-Logic and Neural Network based controllers.


1. Thomas E. Marlin ‘Process Control: Designing Processes and Control Systems for Dynamic Performance’, McGraw-Hill International Edition.

2. Jose A. Romagnoli, Ahmet Palazoglu, ‘Introduction to process Control’ CRC Taylor and Francis group.

3. B.G. Liptak, ‘Handbook of Instrumentation- Process Control’, Tata McGraw Hill. 4. Les A. Kane, ‘Handbook of Advanced Process Control Systems and Instrumentation’

Springer. 5. P Sai Krishna “ Process Control Engineering”, I. K Internationals Pvt. Ltd.

20

EEM-316 Advance Power Electronics L-T-P (3-1-0) Credit (4)

UNIT- 1 Steady state and switching characteristics of BJT, Power Mosfet, Cool MOS, SITs, IGBT. Series and Parallel Operation. MOSFET Operation: Operating principle , characteristics, Turn on, Turn Off losses.

UNIT- II Review of Step- down, Step up Operation, Performance parameters, Converter classifications, Switching mode regulators- Buck, Boost and Buck-Boost, Cuk, SEPIC regulators. DC Power Supplies- SMPS DC Power supplies, Flyback converter, Forward Converter, Push-Pull Converter, Half bridge Converter, Full Bridge Converter, Resonant DC Power Supplies.AC Power Supplies – SMPS AC Power Supplies, Resonant AC Power supplies.

UNIT- III Review of Voltage source and control source inverters, PWM strategies- Sinusoidal, Trapezoidal, Staircase, stepped, harmonic injected, delta modulation. Space Vector modulation- Concept of Space Vector, space vector switching. Multilevel Inverters – Diode Clamped, improved diode clamped, flying capacitor, cascaded. Application of Multilevel inverters.

UNIT – IV Transformer Design, DC Inductor, Magnetic Saturation, Capacitor design and ESR effect, Control Circuits, Stability Analysis of Power supply converters.

UNIT- V Electromagnetic Interference- Common mode, Differential mode noise, EMI Filter, FCC, IEC Standards, UL standards, Active Power Factor correction, Electronic Ballast for various lamps.

Text Book/References:

1. Rashid. M.H., “ Power Electronics, Circuits, Devices and Application.”, Pearson Education Inc, New Delhi .

2. B. Keith, “ SMPS Handbook” McGrawHill Handbook. 3. Ned Mohan, Undeland, Robin, “Power Electronics, Converters, Application and Design”,

John Wiley and Sons. Inc, New York. 4. P.C. Sen, “Modern Power Electronics”, Wheeler publishing corporation, First edition,

New Delhi.

21

EEM-317 Mechatronics L-T-P (3-1-0) Credit (4)

UNIT-I Introduction: definition, trends, control systems, micro-controller based controllers, PC based controllers.

UNIT-II Design of sensor and signal conditioning for Displacement, position, velocity, force, pressure, temperature.

UNIT-III Precision mechanical actuation: Pneumatic, Electro-pneumatic, Hydraulic, Electro-hydraulic actuation systems, ball screw and nut, linear motion guides, linear bearings, bearings, harmonic transmission, motor/drive selection.

UNIT-IV Electro mechanical drives: relays and solenoid, stepper motors, DC-brushed / brushless motors, DC servo motors, breaking methods, PWM, Bi-polar driver, MOSFET drivers, SCR drivers, Variable Frequency Drives.

UNIT-V Micro-controller and interfacing: Digital signal interfacing techniques, Analog signal interfacing with ADC and DAC. Programmable logic and motion controller: programming, interfacing of sensors and actuators to PLC, Simultaneous control of axes integration of axes and I/Os.


1. Devid G. Alciatore, Michael B. Histand , ‘Introduction to Mechatronics and measurement systems’, 2nd Edition, McGraw-Hill.

2. Bella G Liptak, ‘Instrument Engineer’ Handbook, Vol. 1, 2 and 3, CRC Press. 3. Ajay V. Deshmukh, ‘Microcontrollers’, 1st edition, Tata McGraw-Hill.

22

EEM-318 Advance Biomedical Instrumentation L-T-P (3-1-0) Credit-4

Unit-1 Evolution of medical instrument, components of a medical instrumentation system, Classification of medical instruments, Electrical activity of cells, Electrode-skin interface, Origin of Biopotentials, Biopotential amplifiers, and Biopotential signal processors.

Unit-2 Computer based medical instrumentation - Computerised versions of ECG, EEG, EMG, Tread Mill Test ECG– Foetal monitor, cardiac arrthymias and its monitoring through Holter monitor, Operation theatre equipment and Critical Care instrumentation - Patient monitors, pulse oximetry, ICU ventilators, Event monitors.

Unit-3 Specialized Therapeutic and diagnostic equipment - Cardiac pacemakers, heart lung machines, Haemodialysis - design, clinical laboratory instrumentation, Audiometer, Phonocardiogram, Emerging trends in medical diagnostics and therapy. Electromagnetic Blood flow meters, Ultrasonic Blood Flow meters, Laser Doppler Blood Flow Meters.

Unit-4 Stimulators: types of stimulators, electrodiagnostic/therapeutic stimulator, peripheral nerve stimulator, AC and DC defibrillators. Elements of electrical safety- Built-in safety features for medical instruments.

Unit-5 Electroencephalography (EEG), Concept of BCI (Brain control interface) : Invasive and Non-invasive Types, EEG Standards, EEG Data Acquisition. Detection of physiological parameters using electrical impedance technique.


1. Raja Rao, C; Guha, S.K. Principles of Medical Electronics and Biomedical. Instrumentation. Orient Longman.

2. Geddes L. A and Baker L.E, ‘Principles of Applied Biomedical Instrumentation, Wiley-Interscience.

3. John G. Webster. Medical Instrumentation: Application and design, John wiley & sons. 4. Leslie Cromwell, Fred J. Weibell, and Erich A. Pfeiffer. Biomedical Instrumentation and

measurements, Pearson Education Asia. 5. Joseph J. Carr and John M. Brown. Introduction of Biomedical Equipment Technology,

Pearson Education Asia.

23

EEM-319 Robotics L-T-P (3-1-0) Credit (4)

UNIT-I Introduction Types of Industrial Robots, definition, classifications based on work envelope ,Generations configurations and control loops, basic parts and functions,specifications. Robots components-Degrees of freedom-Robot joints- coordinates- Reference frames-workspace, Euler angle representation Robot languages, need for robot social issues

UNIT-II Kinematics Of Robot System Robot motion – Kinematics of Robot motion – Direct kinematics – linkages and joints – mechanism – method for location and orientation of objects – drive systems – end effectors – types, selection, classification and design of grippers – gripper force analysis. Mechanism-matrix representation-homogenous transformation, DH representation-Inverse kinematics-solution and programming-degeneracy and dexterity

UNIT-III Differential Motion and Velocities Jacobian-differential motion of frames-Interpretation-calculation of Jacobian-Inverse Jacobian-Design-Lagrangian mechanics-dynamic equations-static force analysis, Langrange- Euler formulation

UNIT-IV Robotic Sensors and Vision System Functions of Sensors – Position and proximity’s sensing – tactile sensing – sensing joint forces – vision system – object recognition and image transformation – safety monitoring sensor systems – image analysis – application of image processing. Two and three dimensional images-spatial and frequency domain representation-noise and edges- convolution masks-Processing techniques-thersholding-noise reduction-edge detection-segmentation-Image analysis and object recognition

UNIT-V Robot Control System Sensor characteristics Hydraulic, Pneumatic and electric actuators-trajectory planning, decentralized PID control- non-linear decoupling control. Joint and Actuator Control Scheme, Computed torque technique, variable structure control, adaptive control


1. Fu, Gonzalez and Lee,'' Robotics: Control, Sensing, Vision and Intelligence", McGraw Hill.

2. R.D. Klafter, TA Chmielewski and Michael Negin, "Robotic Engineering: An Integrated approach", Prentice Hall of India.

3. Yoram Koren, Robotics, McGraw Hill. 4. Groover, M.P. Industrial Robotics, Prentice Hall. 5. Janakiraman P.A. Robotics and Image Processing, Tata McGraw Hill. 6. R. K. Mittal and I . J. Nagrath, “Robotics and Control” Tata McGraw Hill. 7. Robert J. Schilling, “Fundamentals of Robotics”, Prentice-Hall of India.

24

EEM-351 Project

L-T-P (0-0-16) Credit (8)

The Project is aimed at training the students to analyze any problem in the field of Control and Instrumentation systems independently. The project may be analytical, computational and experimental or combination of them based on the latest developments in the relevant areas. It should consist of objectives of study, scope of work, critical literature review and preliminary work done pertaining to the seminar undertaken in Semester II. All the students are required to implement a research paper already published. During the project period, every student has to present the progress of their works before the duly constituted committee of internal teachers of the department. The assessment by the committee members are a part of Mid Term Evaluation. A report of the project in the form of hard copy must be submitted in the office before the final evaluation by the External Examiners.

EEM-451 Dissertation L-T-P (0-0-24) Credit (12)

Dissertation is a continuation of the project work done by the student during Semester III. The dissertation report is expected to show clarity of thought and expression, critical appreciation of the existing literature and analytical computation and experimental aptitude of the students as applicable. During the dissertation period, every student has to present the progress of their works before the duly constituted committee of Faculty Members of the department. The assessment by the committee members are a part of Mid Term Evaluation. A report of the dissertation in the form of hard copy must be submitted in the office at least two weeks before the final viva voce is conducted by the External Examiner.

COURSE STRUCTURE AND CURRICULUM

(w.e.f. 2013-2014)

M. TECH. PROGRAMME ELECTRICAL POWER SYSTEMS MANAGEMENT

1

COURSE STRUCTURE M. Tech. (Electrical Power Systems Management)

SEMESTER I




MARKS CREDIT L T P



CCA MTE EEM-101 Intelligent Techniques 3 1 0 10 30 60 100 4 EEM-102 Automation System 3 1 0 10 30 60 100 4 EEM-103 Instrumentation Systems 3 1 0 10 30 60 100 4 EEM-104 Power System Modelling 3 1 0 10 30 60 100 4 Elective-I 3 1 0 10 30 60 100 4 EEM-152 SCADA Lab 0 0 4 20 10 20 50 2 TOTAL 15 5 4 70 160 320 550 22

SEMESTER II




MARKS CREDIT L T P



CCA MTE EEM-201 Optimization Techniques 3 1 0 10 30 60 100 4 EEM-202 Communication Protocols 3 1 0 10 30 60 100 4 EEM-203 Transmission and

Distribution Automation 3 1 0 10 30 60 100 4

EEM-204 Energy Management Systems

3 1 0 10 30 60 100 4

Elective-II 3 1 0 10 30 60 100 4 EEM-251 Seminar 0 0 4 20 10 20 50 2 EEM-253 Power System Automation

Laboratory

0 0 4 20 10 20 50 2

TOTAL 15 5 8 90 170 340 600 24

SEMESTER III




MARKS CREDIT L T P



CCA MTE Elective-III 3 1 0 10 30 60 100 4 Elective-IV 3 1 0 10 30 60 100 4 EEM-351 Project 0 0 16 40 80 80 200 8 TOTAL 6 2 16 60 140 200 400 16

SEMESTER IV




MARKS CREDIT L T P



CCA MTE EEM-451 Dissertation 0 0 24 80 100 120 300 12 TOTAL 0 0 24 80 100 120 300 12

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2

Elective I 1. EEM-106 Modeling and Simulation

2. EEM-107 Applied Mathematics for Electrical Engineers

Elective II 1. EEM 206 Digital Protection of Power Systems

2. EEM 207 Power System Reliability

Elective III 1. EEM-301 Restructuring & Deregulation of Power

2. EEM-302 EHV AC & DC Transmission

Elective IV 1. EEM-306 Advanced Power Electronics

2. EEM-307 Renewable and Sustainable Energy Systems

3. EEM-308 Power Quality and FACTS

3

EEM-101 Intelligent Techniques L-T-P (3-1-0) Credit (4)

Unit I: Soft Computing Hard Computing: Features of Hard Computing, Soft Computing: features of soft computing, Hybrid Computing, Fuzzy Set Theory: fuzzy versus crisp sets, basic fuzzy set operations, linguistic variables, membership functions, fuzzy Cartesian product, fuzzy relations, fuzzy rules.

Unit II: Fuzzy Implications Approximate reasoning, fuzzy modelling, fuzzification, inferencing and defuzzification, fuzzy modeling and control schemes for nonlinear systems, applications in power system.

Unit III: Fundamentals of Neural Networks Biological neural networks, models of an artificial neuron, neural network architectures, characteristics of neural networks, McCulloch-Pitts neuron, learning methods, Hebbian learning rules, Hebb nets.

Unit IV: Backpropagation Networks Architecture of backpropagation networks, perceptron model, single layer and multi-layer perceptron models, backpropagation learning, tuning parameters of backpropagation networks, neuro-fuzzy models, adaptive neuro-fuzzy inference system (ANFIS), applications.

Unit V: Neuro-Fuzzy Systems Architectures of neuro-fuzzy systems; Cooperative neuro-fuzzy systems, Neural Network driven fuzzy reasoning, Hybrid neuro-fuzzy system; Construction of neuro-fuzzy systems: Structure if identification phase, parameter learning phase.

Text/Reference Books: 1. Fakhreddine O. Karray and Clarence W De Silva, “Soft Computing and Intelligent

Systems Design: Theory, Tools and Applications” Pearson Education. 2. S. Rajasekaran and G. A. Vijayalakshmi Pai, “Neural Networks, Fuzzy Logic, and

Genetic Algorithms: Synthesis and Applications”, Prentice Hall of India, New Delhi. 3. George J. Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic: Theory and applications,

Prentice Hall of India, New Delhi. 4. Jyh-Shing Roger, Chuen-Tsai Sun, Eui Mizutani, Neuro-fuzzy and Soft Computing: A

Computational Approach to Learning and Machine Intelligence, Prentice Hall of India, New Delhi.

5. Simon S Haykin, “Neural networks and learning machines”, Prentice Hall of India, New Delhi.

4

EEM 102 Automation Systems L-T-P (3-1-0) Credit (4)

Unit I Automation systems, Advantages of automation, Components of process control systems, Evolution of Control systems. Single loop control, Centralized control, Distributed control systems, Open systems, SCADA systems. Types of data available, Analog, Digital, Pulse data, Redundancy. Data communication components and protocols.

Unit II: Programmable Logic Controllers (PLC) Functional description, input/output systems, CPU, memory Unit, Programmer Units, Peripheral devices, PLC Vs Computers, Advantages of PLCs, controller programming tools, Ladder Diagram programming. phase locked loop, Interposing relays, type and structure of relays.

Unit III: Distributed Control Systems (DCS) PLC Vs DCS systems, DCS architecture, Local control units, dedicated card controllers, Unit Operations controllers, DCS multiplexers, DCS system integration, Automation Standards, salient features.

Unit IV: Supervisory Control and Data acquisition (SCADA) Systems, Types of supervisory systems, Components of SCADA Systems. Remote terminal unit (RTU), Communication subsystem, Protocols, Logic subsystem, termination subsystem, test and power supply subsystem, Phasor measurement Units, Phasor Data concentrator and communication, Intelligent Electronic Devices.

Unit V: SCADA master station configurations, hardware and software components, Communication systems, Human Machine interface. SCADA application functions, Intelligent Electronic devices. Practical PLC, DCS, PMU and SCADA applications and implementations

Reference Books:

1. Automation Handbook Vol I Bela G. Liptac, CRC Press. 2. Fundamentals of Supervisory systems, IEEE tutorial. 3. John W Webb & Ronald A Reiss, Programmable Logic Controllers, principles and

applications, Prentice Hall of India. 4. Related Research papers

5

EEM-103 Instrumentation Systems L-T-P (3-1-0) Credit (4)

Unit- I Transducer Characteristics : General concepts and terminology of measurement systems: Transfer Function, Span (Full-Scale Input), Full-Scale Output, Accuracy, Calibration, Calibration Error, Hysteresis, Nonlinearity, Saturation, Repeatability, Dead Band, Resolution, Special Properties, Output Impedance, Excitation, Dynamic Characteristics, Environmental Factors, Reliability. Modeling and analysis of the measuring system, standards and calibration of the measuring instrument.

Unit-II Transducers: Classifications, working principle, construction and design of various active and passive transducers. Voltage and current transducers, Tap position transducers. Hall effect transducers, optical transducers. Semiconductor traducers for physical and chemical parameters measurement.

Unit-III Design of detection electronics and signal conditioning circuits for various resistive, capacitive, inductive transducers. Active filters, Impedance matching, loading effect. Introduction to electromagnetic coupling (EMC), inference coupling mechanism, shielding. Concepts of interfaces with digital device like computer, microcontroller microprocessor.

Unit-IV Applications of Industrial transducers: Hotwire anemometer, infrared, seismic and nuclear energy transducer, Transducers activated RFID tags.

Unit-V Controller modes Discontinuous, two positions, multi position, floating control, continuous control, proportional, integral, derivative and composite modes of control.

Text/Reference Books: 1. C.D. Jhonson, Process Control Instrumentation Technology, PHI, India. 2. Doeblin E.O. Measurement Systems-Application and Design, Fourth Edition, McGraw

Hill International Edition, New York-Fifth Edition. 3. Jacob Fraden, Hand book of Modern Sensors: Physics, Design and applications,

publication by Springer, Fourth Edition. 4. John P. Bentley, Principle of measurement systems, Third edition, addition Wesley

Longman Ltd. UK. 5. Gregory K. McMillan and Doughlas M. Considine, Industrial Instruments and Controls

handbook, Tata Mc Graw Hill Edition. 6. L.D. Goettsche, Maintenance of Instruments and Systems – Practical guides for

measurements and control, ISA.

6

EEM-104 Power System Modelling L-T-P (3-1-0) Credit (4)

Unit I Review of network matrices; introduction to graph theory, basic loops, basic cut-sets, incidence matrices, augmented cut-set and loop incidence matrices, primitive network, network performance equations, bus admittance matrix, direct inspection method, step by step procedure, singular transformation and non singular transformation.

Unit II Bus impedance matrix, partial network, procedure for finding elements of Z- bus, algorithm for formulation of Z-bus with and without coupled elements, addition of branch, addition of link, modification of Z- bus for changes in network.

Unit III Introduction to load flow analysis, development of load flow equations, iterative methods, Techniques used in N-R method, sparse matrix, triangular factorization, fast decoupled load flow.

Unit IV Modeling of Single Machine infinite bus system, Mathematical modeling of multi machine system, Dynamics and transient stability analysis of single machine system and multi machine system.

Unit V Short circuit studies of large power system networks, algorithm for calculating system condition after the occurrence of faults, comparison between symmetrical components and phase coordinated method of short circuit studies.

Text/Reference Books: 1. Modern Power system Analysis, I.J. Nagrath and D. P. Kothari; Tata Mc Graw Hill, New

Delhi. 2. Electrical Power System; New Age International Publishers. 3. Power System Analysis, B. Subramanyam, B. Venkata Prasantha, I. K. International

Publishing House, New Delhi. 4. Power Generation, Operation and Control, Wood and Woollenberg, John Wiley and

Sons. 5. Computer Method in Power Systems, Stas El Abiad. 6. Advanced Power System Analysis and Dynamics, L.P. Singh, Wiley Eastern Limited,

New Delhi.

7

EEM-106 Modeling and Simulation L-T-P (3-1-0) Credit-4

UNIT-1: System Models The concepts of a system, System environment, Stochastic activities, Continuous and Discrete Systems, System Modeling, Types of models, Static physical models, Dynamic physical models, Static mathematical models, Dynamic mathematical models, Principles used in modeling.

UNIT-II: System Simulation The technique of Simulation, The Monte Carlo method, Comparison of simulation and analytical methods, Experimental nature of simulation, Types of system simulation, Numerical computation technique for continuous models, Numerical computation technique for Discrete models, Distributed lag models, Cobweb models, Progress of a simulation study.

UNIT-III: Probability Concepts in Simulation Stochastic variables, Discrete probability functions, Measures of probability functions, Continuous uniformly distributed random numbers, Random number generators (RNG), multiplicative congruential method, Mixed multiplicative congruential method, Other methods of random number generation.

UNIT-IV: Basic Queuing Models and Arrival patterns Congestion in Systems, Arrival patterns, Poisson arrival patterns, Exponential distribution, Coefficient of variation, The Erlang distribution, Hyper-exponential distribution, Service times, Normal distribution, Basic queuing models, Short hand notation for queuing and loss models, Queuing disciplines, Measures of queues, Mathematical solutions of queuing problems.

UNIT-V: Simulation Experiments and Statistical Data Analysis Experiments and Statistical inference, Nature of the problem, Estimation methods, Simulation run statistics, Replication of runs, Elimination of initial bias, Batch means, Regenerative techniques, Time series analysis, autoregressive processes, Validation and Testing of simulation models.

Text/Reference Books: 1. Gordan G., “System Simulation,” Prentice Hall of India. 2. Kobayashi H., mark B. L., “System Modeling and Analysis,” Pearson Education, Inc,

New Delhi.

8

EEM-107 Applied Mathematics for Electrical Engineers L-T-P (3-1-0) Credit (4)

UNIT-I Advanced Matrix Theory Eigen-values using QR transformations – Generalized eigen vectors – Canonical forms – Singular value decomposition and applications – Pseudo inverse – Least square approximations.

UNIT-II Linear Programming Formulation – Graphical Solution – Simplex Method – Two Phase Method – Transportation and Assignment Problems.

UNIT-III One Dimensional Random Variables Random variables - Probability function – moments – moment generating functions and their properties – Binomial, Poisson, Geometric, Uniform, Exponential, Gamma and Normal distributions – Function of a Random Variable.

UNIT-IV Queueing Models Poisson Process – Markovian queues – Single and Multi Serve r Models – Little’s formula – Machine Interference Model – Steady State analysis – Self Service queue.

UNIT-V Computational Methods In Engineering Boundary value problems for ODE – Finite difference methods – Numerical solution of PDE – Solution of Laplace and Poisson equations – Liebmann's iteration process – Solution of heat conduction equation by Schmidt explicit formula and Crank- Nicolson implicit scheme – olution of wave equation.

Text/Reference Books: 1. Bronson, R., Matrix Operation, Schaum’s outline series, McGraw Hill, New York. 2. Taha, H. A., Operations Research: An Introduction, Seventh Edition, Pearson Education

Edition, Asia, New Delhi. 3. R. E. Walpole, R. H. Myers, S. L. Myers, and K. Ye, Probability and Statistics for

Engineers & Scientists, Asia, 8th Edition. 4. Donald Gross and Carl M. Harris, Fundamentals of Queueing theory, 2nd edition, John

Wiley and Sons, New York.

9

EEM-152 SCADA Lab L-T-P (0-0-4) Credit (2)

This laboratory course is designed based on theory course of “Automation System” (EEM-102). There are around 8-10 experiments to be conducted by the students covering almost all units of theory course. The experiments include hardware of SCADA system, software structure of SCADA lab, system configuration and I/O mapping, Engineering and operator software customization, graphics development etc. Also it is expected that the students must learn to use the latest equipment and software so that the Industry gets trained Engineers.

10

EEM-201 Optimization Techniques L-T-P (3-1-0) Credit (4)

UNIT-I Introduction to optimization, functions of single variable, functions of several variables, formulation of optimization problems. Review of classical methods, linear programming, nonlinear programming.

UNIT-II Constraint optimality criteria, constrained optimization, constraint direct search method, linearization methods for constrained problems, transformation method. Nonlinear programming: problem formulation, Quadratic Approximation Methods for Constrained Problems Unconstrained minimization techniques.

UNIT-III Dynamic programming: sub-optimization, multistage optimization problem. Multi-objective and goal programming: problem formulation, solution of a multi-objective problem. Case studies

UNIT-IV Introduction to Stochastic Optimization Techniques, types: Local Search, Population Based, Introduction to Genetic Algorithms, Motivation from Nature, Genetic Algorithms: Working Principle: Representation, Fitness Assignment, Reproduction, Crossover, Mutation, Constraint Handling, Real Parameter Genetic Algorithms, Combined Genetic Algorithm, Advanced Genetic Algorithms, Applications.

UNIT-V Ant Colony Optimization: Introduction, Ant System, Ant Colopny System, ANTS, Significant Problems, Convergence Proofs. Discrete Particle Swarm Optimization (PSO): Introduction, PSO Elements: Position and State Space, Objective Function, Velocity, PSO Algorithm, Examples and Results, Applications.


1. Singiresu S. Rao, ‘Optimization Techniques’, New Age International Publishers. 2. D. P. Kothari and J. S. Dhillon, ‘Power System Optimization, Tata McGraw Hill. 3. C. Mohan and Kusum Deep, ‘Optimization Techniques, New Age International

Publishers. 4. Godfrey C. Onwubolu, B. V. Babu, “New Optimization Techniques in Engineering”,

Springer-Verlag. 5. Marco Dorigo, Thomas Stützle, “Ant colony optimization”, MIT Press. 6. Thomas Wiesi, “Global Opimization Algorithms”, ebook. http://www.it-weise.de/.

11

EEM-202 Communication Protocols L-T-P (3-1-0) Credit (4)

UNIT-I: Introduction to Communication Protocols Data Communication basics, OSI reference model, Network Classification, Device Networks, Control Networks, Enterprise Networks.

UNIT-II: Networks in Process Automation Introduction to Networks in process automation, Information flow requirements, Industry Networks, Network selection.

UNIT-III: Proprietary and open networks Network Architectures, Building blocks, Industry open protocols: RS-232, RS- 422, RS-485, Ethernet, Modbus, Profibus, Fieldbus; Hardware: Fieldbus Design, Advantages and Limitations.

UNIT-IV: Introduction to wireless Protocols WPAN, Wi-Fi, Bluetooth, ZigBee, Z-wave, IRIB-B.

UNIT-V: Communication Protocols for Power System Communication requirements for power system automation, Protocols used, Need for Interoperable Communication, Overview of IEC 61850 Standard: Data Models, Communication Services, GOOSE Communication: Implementation and its advantages.

Text/References/Books: 1. B.G. Liptak, ‘Process Software and Digital Network”, CRC Press ISA- The

Instrumentation, Systems, and Automation Society. 2. User Manuals of Foundation Fieldbus, Profibus, Modbus, Ethernet, Devicenet,

Controlnet, IEC 61850. 3. Peterson Davie, “Computer Networks—A System Approach”, Maugann Kauffmann

Publisher.

12

EEM-203 Transmission and Distribution Automation L-T-P (3-1-0) Credit (4)

Unit I: Overview of transmission system, SCADA in Power systems. AGC, Energy Management Systems, FACTS, HVDC, Under Frequency Relay (UFR), df/dt control, Islanding. Regional grids, Specifications and details. Functions of the SCADA hierarchical levels in Transmission Master stations.

Unit II: Utility distribution system, Types of distribution feeder configurations; Grid network, radial, loop, grounding, Load and fault characteristics. Distribution transformers and regulators. Application of capacitors for distribution system,. Losses and loss reduction in Distribution systems. Over voltages in Distribution systems.

Unit III: Introduction to Distribution Automation (DA), Constituents of DA, Feeder automation application functions, Outage management, customer information systems, AMI, Distribution load flow & fault location algorithms for distribution system.

Unit IV: Substations, Bus Switching Schemes, Types of substations; GIS, Air Insulated, HV Power Electronic. Smart Grid; Smart Transmission (WAMS, Smart Distribution, Demand Side Integration (Demand Response & Demand Side Management), Energy Storage, Renewable Source Integration.

Unit V: Substation integration and automaton, Application functions Interface between substation and automation. Open systems, architecture functional data paths, new vs existing substations.


1. Power Distribution Engineering: James J. Burke, Marcel Dekker, Inc. 2. Electric Power Substation Engineering John D. Mc Donald CRC Press, , Taylor and

Francis 3. Control and Automation of Electrical Power Distribution systems, James Northcote-

Green, R Wilson, CRC Press, Taylor and Francis. 4. Electric Power Distribution, Automation, Protection and Control, James Momoh, CRC

press, Taylor and Francis. 5. Related Research papers.

13

EEM -204 Energy Management Systems L-T-P (3-1-0) Credit (4)

Unit I Power system security, , factors affecting power system security, contingency analysis, linear sensitivity factors, contingency selection, concentric relaxation, calculation of network sensitivity factors. Transmission planning criteria.

Unit II Power system state estimation. Maximum likely hood weighted least squares estimation, matrix formation. State estimation of an AC network.

Unit III Detection and identification of bad measurements in state estimation. Network observability. Applications. Dynamic (linear) state estimation using PMU measurements

Unit IV Economic load dispatch, system constraints, economic dispatch with and without losses, exact transmission loss formula, modified coordination equation, economic scheduling of hydrothermal plants, optimal power flow, multiobjective optimal power flow.

Unit V Economy interchange between interconnected utilities. Interchange evaluation. Power pools, transmission effects and issues

References: 1. Power generation Operation & Control, Allen J. Wood and Bruce Woollenberg, John

Wiley & Sons. 2. Transmission planning criteria: CEA manual. 3. PMU Dynamic State Estimation: CEA Manual. 4. POSOCO Operator examination handbook.

14

EEM-205 Digital Protection of Power System L-T-P (3-1-0) Credit (4)

UNIT-1: Relaying Evolution, Disadvantages of Conventional Relays, Computer Relaying Architecture, Performance and Operational Characteristics, Cost/Benefits considerations, Substation Computer Hierarchy. UNIT-2: Signal Conditioning Subsystems, Analog-to-Digital Conversion, Sampling, Digital Filtering in Protection Relays; Time domain, Frequency domain, Types of Digital Filters, Spectral Analysis; Discrete Fourier Transform, Fast Fourier Transform, Walsh Function Analysis. UNIT-3: Relaying as Parameter Estimation, Transmission Line Protection, Transformer Protection, Generator Protection, Bus Protection, Reactor Protection, Symmetrical Component Distance Relay, Distribution Over-current Protection. UNIT-4 Substation Communication Networks, Bandwidth, Data Rate, End-to-end Delays, Digital Data Transmission, Ethernet in Substation, Fiber Optic Communication, End-to-end Delay Standards for Protection Applications. UNIT-5 Substation Environment, Industry Environment Standards, EMI and Countermeasures, Supplementary Equipments in Substation, Travelling Waves due to faults, Directional wave Relay, Travelling wave Distance Relay, Travelling wave Differential Relay, Fault Location Algorithm. Text/References Books: 1. Phadke A.G., James S. Thorp, “Computer Relaying for Power System”, John Wiley &

Sons Inc. 2. James J. Bruke, “Power Distribution Engineering”, Mark Dekker Inc. 3. John A. T., Salman S. K., “ Digital Protection for Power System”, Power & Energy

Series, Issue 15 of IEE power series, ISBN-086341303X, 9780863413032, IET. 4. Singh L. P., “Digital Protection- Protective Relaying from Electromechanical to

Microprocess”, New Age International.

15

EEM-206 Power System Planning and Reliability L-T-P (3-1-0) Credit (4)

Unit I: System Planning Introduction, Objectives & Factors affecting to System Planning , Short Term Planning, Medium Term Planning, Long Term Planning, Reactive Power Planning.

Unit-II: Reliability Reliability, Failure, Concepts of Probability, Evaluation Techniques (i) Markov Process (ii) Recursive Technique, Stochastic Prediction of Frequency and Duration of Long & Short Interruption, Adequacy of Reliability, Reliability Cost.

Unit III: Generation Planning and Reliability Generation Sources, Integrated Resource Planning, Generation System Model, Loss of Load (Calculation and Approaches), Outage Rate, Capacity Expansion, Scheduled Outage, Loss of Energy, Evaluation Methods, Interconnected System, Factors Affecting Interconnection under Emergency Assistance.

Unit IV: Transmission Planning and Reliability Introduction, Objectives of Transmission Planning, Network Reconfiguration, System and Load Point Indices, Data required for Composite System Reliability.

Unit V: Distribution Planning and Reliability Radial Networks, Network Reconfiguration, Evaluation Techniques, Interruption Indices, Effects of Lateral Distribution Protection, Effects of Disconnects, Effects of Protection Failure, Effects of Transferring Loads, Distribution Reliability Indices. Parallel & Meshed Networks, Bus Bar Failure, Scheduled Maintenance, Temporary and Transient Failure, Breaker Failure.

Text/Reference Books: 1. Power System Planning - R.L. Sullivan, Tata McGraw Hill Publishing Company Ltd. 2. Reliability Evaluation of Power System - Roy Billinton & Ronald N. Allan, Springer

Publication. 3. Electricity Economics & Planning – T. W. Berrie, Peter Peregrinus Ltd., London.

16

EEM-251 Seminar L-T-P (0-0-4) Credit (2)

All the students of II semester will be required to deliver a seminar on the topic relevant to recent trends in Electrical Power Systems using power point presentation. Topics are selected in consultation with their supervisors. Presentation will be of 15 minutes duration followed by a question answer session at least two times in a semester before the duly constituted committee of the Faculty Members of the department. The assessment by the committee members are a part of Mid Term Evaluation. A report of the seminar in the form of hard copy must also be submitted in the office before the final evaluation by External Examiners.

EEM-253 Power System Automation Laboratory L-T-P (0-0-4) Credit (2)

This laboratory course is designed based on theory course of “Transmission and Distribution Automation” (EEM-203). There are around 8-10 experiments to be conducted by the students covering almost all units of theory course. The experiments include power system simulation studies like load flow study, short circuit analysis etc. using PSCAD software, testing and performance of IEDs, PMUs etc. Also it is expected that the students must learn to use the latest equipment and software so that the Industry gets trained Engineers.

17

EEM-301 Restructuring and Deregulation of Power System L-T-P (3-1-0) Credit (4)

UNIT-1: Open access in electricity sector, types of open access- medium term. Competitive Electricity Market and Balancing Mechanism, Scheduling.

UNIT-2: Traditional Central Utility Model, Reform Motivations, Separation of Ownership and Operation, Central Dispatch versus Market Solution, Independent System Operator (ISO). Components of Restructured Systems: Gencos, Discos and Retailers, ,

UNIT-3: Wholesale Electricity Market Characteristics: Central Auction, Bidding, Market Clearing and Pricing, Bilateral Trading, Scheduling, Gaming, Ancillary. Maximalist ISO, Minimalist ISO Model. Deregulation in Distribution.

UNIT-4: Role of TP: Vertically Integrated Utility, Three Models of the Electricity Market, For-profit TP. Incentive Rate Design, Priority Insurance Scheme, Transmission Expansion in deregulated Environment. Transmission Owners

UNIT-5: ISOs, Power Exchange (PX), Scheduling Coordinators. PX and ISO: Functions and Responsibilities, Trading Arrangements: The Pool, Pool and Bilateral Trades, Multilateral Trades, Congestion Management in Open-access Transmission Systems, Open-access Coordination Strategies.


1. Loi Lei Lai, “Power System Restructuring and Deregulation: Trading Performance and

Information Technology”, John Wiley & Sons Ltd. 2. CERC Regulations on Grand og Connectivity, Medium term Open Access and Long

Term Open Access; Regulations. 3. CERC Regulation on Open Access-2008 [CERC Compendium]. 4. POSOCO Manual on Electricity Market.

18

EEM-302 EHVAC and HVDC Transmission L-T-P (3-1-0) Credit (4)

UNIT-1 Introduction to EHV AC and HVDC transmission-Comparison –Economic, Technical performance – Reliability – Limitations for EHVAC and HVDC transmission, Distance-problems involved in EHVAC transmission, Modeling of AC and DC Networks, Modeling of DC links, Solution of DC load flow, Per Unit System for DC Quantities, Solution of DC power flow.

UNIT-II Principles of HVDC Transmission, Terminal equipments and their controls, Reactive power control. Choice of converter configuration, Modeling and analysis of HVDC converters, Analysis of converters for HVDC System: characteristics and their control, DC Link Control Harmonics and filters, Generation of harmonics, multi-terminal DC system.

UNIT-III Protection, Converter Faults, Protection against over currents, over-voltages, HVDC circuit breakers, Protection by DC reactors, Insulation coordination, Earth return: Use of earth and sea return. Simulation of HVDC Systems: Digital dynamic simulation of converters and DC systems.

UNIT-IV Parameters of EHVAC Lines for modes of propagation, resistance and Inductance of ground returns, Voltage Gradient of conductors Corona effects: Power loss and Audible Noise, Charge-Voltage diagram. Attenuation of traveling waves, Audible noise levels. Power frequency voltage control: Generalised constants, Cascade connection of components-shunt and series compensation. Sub-synchronous Resonance in series- capacitor compensated lines.

UNIT-V Origin of overvoltage and their types, short circuit current and circuit breaker. Recovery voltage and the circuit breaker, Overvoltage caused by interruption of inductive and capacitive currents, Ferro resonance over voltage, calculation of switching surges single phase equivalents, Reduction of switching surges on EHV systems.

TEXT/REFERENCE BOOKS: 1. Begamudre R.D , “Extra High Voltage AC Transmission Engineering”, Wiley Eastern

Ltd., Second edition. 2. K.R, Padiyar, HDVC Power Transmission System, Wiley Eastern Ltd. 3. E.W. Kimbark, Direct Current Transmission, Vol:1 Wiley Interscience. 4. D. Chakrabarti, D.P.Kothari, A.K. Mukhopdadhyay ,“Performance, Operation & Control

of EHV Power Transmission System ", Wheeler publications. 5. J. Arrillage et. Al Computer Modeling of Electrical Power System, John Wiley. 6. Adams and Hingorani, “HVDC transmission”.New Age. 7. P.S.Kundur, Power System Stability and Control, Wiley Eastern Ltd.

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EEM-306 Advance Power Electronics L-T-P (3-1-0) Credit (4)

UNIT- 1 Steady state and switching characteristics of BJT, Power Mosfet, Cool MOS, SITs, IGBT. Series and Parallel Operation. MOSFET Operation: Operating principle , characteristics, Turn on, Turn Off losses.

UNIT- II Review of Step- down, Step up Operation, Performance parameters, Converter classifications, Switching mode regulators- Buck, Boost and Buck-Boost, Cuk, SEPIC regulators. DC Power Supplies- SMPS DC Power supplies, Flyback converter, Forward Converter, Push-Pull Converter, Half bridge Converter, Full Bridge Converter, Resonant DC Power Supplies.AC Power Supplies – SMPS AC Power Supplies, Resonant AC Power supplies.

UNIT- III Review of Voltage source and control source inverters, PWM strategies- Sinusoidal, Trapezoidal, Staircase, stepped, harmonic injected, delta modulation. Space Vector modulation- Concept of Space Vector, space vector switching. Multilevel Inverters – Diode Clamped, improved diode clamped, flying capacitor, cascaded. Application of Multilevel inverters.

UNIT – IV Transformer Design, DC Inductor, Magnetic Saturation, Capacitor design and ESR effect, Control Circuits, Stability Analysis of Power supply converters.

UNIT- V Electromagnetic Interference- Common mode, Differential mode noise, EMI Filter, FCC, IEC Standards, UL standards, Active Power Factor correction, Electronic Ballast for various lamps.

Text Book/References: 1. Rashid. M.H., “ Power Electronics, Circuits, Devices and Application.”, Pearson

Education Inc, New Delhi. 2. B. Keith, “ SMPS Handbook” McGrawHill Handbook. 3. Ned Mohan, Undeland, Robin, “Power Electronics, Converters, Application and Design”,

John Wiley and Sons. Inc, New York. 4. P.C. Sen, “Modern Power Electronics”, Wheeler publishing corporation, New Delhi.

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EEM-307 Renewable and Sustainable Energy Systems L-T-P (3-1-0) Credit (4)

Unit I: Overview of conventional and renewable energy technologies, World and India’s energy scenario & Energy Security, energy growth patterns, projection of energy Demands.

Unit II: Solar radiation, availability, measurement, estimation and modelling, solar photovoltaic’s and Concentrated Solar Power (CSP), solar thermal systems, application of photovoltaic system for power generation, concentrating solar power generation, applications, Inverters.

Unit III : Wind resource assessments and Forecasting, site assessment, power in wind, general theories of wind machines, wind energy conversion systems (WECS) and Integration to the Grid.

Unit IV: Potential, availability of biomass, bio conversion process, bio gas and bio power.

Unit V: Micro grid; Fuel cell, hydrogen energy, Energy Storage, hybrid and integrated energy systems.

Text/ References Books: 1. B. H. Khan, Non Conventional Energy Resources, TMH. 2. D. P. Kothari, Renewable Energy and Emerging Technologies, PHI. 3. C. S. Solanki, Solar Photovoltaics, PHI. 4. C. S. Solanki, Renewable Energy, PHI. 5. Freris L. L., Wind Energy Conversion Systems, PHI. 6. J. A. Duffie and W. A. Beckmen, Solar Engineering of Thermal Processes, John Wiley. 7. S. P. Sukhatme, Solar Energy-Principles of Thermal Collection and Storage, TMH. 8. MNRE Manual.

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EEM-308 Power Quality and FACTS L-T-P (3-1-0) Credit (4)

UNIT-1 Definition of Power Quality, Power Quality Issues, power quality indices, Power Quality v/s Equipment Immunity, Electric Power Quality Standards. Power Frequency Disturbances, Voltage Sag, Isolation Transformers, Voltage Regulators, Uninterruptible Power Source Systems and non-linear loads.

UNIT-II Types and Causes of Transients, Definition of Harmonics, Causes of Voltage and Current Harmonics. Individual and Total Harmonic Distortion, Effect of Harmonics on Power System Devices, Guidelines for Harmonic Voltage and Current Limitation, Harmonic Mitigation. UNIT-III Power Quality Measurement Devices: Harmonic Analyzers, Transient- disturbance analyzers, Analysis: Analysis in the periodic steady state, Time domain methods, Frequency domain methods , Elimination/suppression of harmonics using passive, active and hybrid filters.

UNIT-IV FACTS concepts and general considerations, converters for static compensation, SVC and STATCOM: Operation control and comparison, static series compensation, static voltage phase angle regulators: TCVR & TCPAR, Unified Power Flow Controllers-operation, comparison with other FACTS devices, control of P and Q, special purpose FACTS devices, Interline Power Flow Controllers: operation and control.

UNIT-V Power Quality issues related to distribution systems – custom power devices – Distribution STATCOM – Dynamic Voltage restorer – Unified Power Quality Conditioner – Application of D-STATCOM, DVR and UPQC for improving power quality in distribution systems.

TEXT/REFERENCE BOOKS:

1. G.T. Heydt, Electric Power Quality, West Lafayette, IN: Stars in a Circle. 2. A Ghosh, G. Ledwich, Power Quality Enhancement Using Custom Power Devices.

Kluwer Academic. 3. R.C. Dugan, M.F. McGranaghan and H.W. Beaty, Electric Power Systems

Quality New York: McGraw-Hill. 4. Math. H. J. Bollen, "Understanding Power Quality Problems - Voltage

Sags and Interruptions", IEEE Press. 5. J. Arrillaga, D.A Bradely and P.S. Bodger, Power System Harmonics. New York: Wiley. 6. Derek A. Paice, Power electronic converter harmonics. 7. N.G. Hingorani & L. Gyugyi, Understanding FACTS: Concepts and Technology of

Flexible AC Transmission Systems, IEEE Press. 8. T.J.E Miller, Reactive Power Control in Electric Systems, John Wiley & Sons. 9. K. R. Padiyar, FACTS Controllers in Power Transmission and Distribution, New Age

International, First Edition, Narosa Pub.

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EEM-351 Project

L-T-P (0-0-16) Credit (8)

The Project is aimed at training the students to analyze any problem in the field of power systems independently. The project may be analytical, computational and experimental or combination of them based on the latest developments in relevant areas. It should consist of objectives of study, scope of work, critical literature review and preliminary work done pertaining to the seminar undertaken in Semester II. All the students are required to implement a research paper already published. During the project period, every student has to give a power point presentation of about 15 minutes duration of the progress of their works at least two times in a semester before the duly constituted committee of the Faculty Members of the department. The assessment by the committee members are a part of Mid Term Evaluation. A report of the project in the form of hard copy must be submitted in the office before the final evaluation by the External Examiners.

EEM-451 Dissertation L-T-P (0-0-24) Credit (12)

Dissertation is a continuation of the project work done by the student during Semester III. The dissertation report is expected to show clarity of thought and expression, critical appreciation of the existing literature and analytical computation and experimental aptitude of the students as applicable. During the dissertation period, every student has to give a power point presentation of about 15 minutes duration at least two times in a semester of the progress of their works before the duly constituted committee of the Faculty Members of the department. The assessment by the committee members are a part of Mid Term Evaluation. A report of the dissertation in the form of hard copy must be submitted in the office at least two weeks before the final viva voce is conducted by the External Examiner.

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